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Advances in Time Series Analysis and Forecasting : Selected Contributions from ITISE 2016 / / edited by Ignacio Rojas, Héctor Pomares, Olga Valenzuela
| Advances in Time Series Analysis and Forecasting : Selected Contributions from ITISE 2016 / / edited by Ignacio Rojas, Héctor Pomares, Olga Valenzuela |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (412 pages) |
| Disciplina | 519.55 |
| Collana | Contributions to Statistics |
| Soggetto topico |
Statistics
Econometrics Computer science - Mathematics Mathematical statistics Probabilities Statistics in Business, Management, Economics, Finance, Insurance Probability and Statistics in Computer Science Probability Theory Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
| ISBN | 3-319-55789-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies -- Scientific Contributions -- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series -- Scientific Contributions -- Part III: Linear and Non-linear Time Series Models -- Scientific Contributions -- Part IV: Advanced Time Series Forecasting Methods -- Scientific Contributions -- Part V: Applications in Time Series Analysis and Forecasting -- Scientific Contributions -- Author Index. |
| Record Nr. | UNINA-9910254304803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics and Biomedical Engineering : 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15–17, 2024, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño, Fernando Rojas, Luis Javier Herrera, Olga Valenzuela
| Bioinformatics and Biomedical Engineering : 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15–17, 2024, Proceedings, Part II / / edited by Ignacio Rojas, Francisco Ortuño, Fernando Rojas, Luis Javier Herrera, Olga Valenzuela |
| Autore | Rojas Ignacio |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (387 pages) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
OrtuñoFrancisco
RojasFernando HerreraLuis Javier ValenzuelaOlga |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computer networks Engineering - Data processing Biomedical engineering Computational and Systems Biology Computer Communication Networks Data Engineering Biomedical Engineering and Bioengineering |
| ISBN |
9783031646362
9783031646355 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -Healthcare and Diseases -- Cost utility Analysis of Robotic assisted Radical Cystectomy -- Bridging Domains in Chronic Lower Back Pain Large Language Models and Ontology driven Strategies for Knowledge Graph Construction -- Screening for age related macular degeneration a cost effectiveness evaluation -- Parkinsons disease progression and treatment dynamics accounting for nonlocality of bioneurological processes -- Divergent expression of PD1 as challenges and chances of Immunotherapy targeting PD1or PDL1 in cancer -- Machine Learning in Bioinformatics -- An Algorithm For Local Alignment Of DNA And Protein Sequences -- Modeling of an aquaponic system -- Fish acoustic telemetry as causal stochastic system and PerronFrobenius analysis of its Markov mode -- Breast cancer biomarker analysis using gene co expression networks -- Towards a Computational Approach to Quantification of Allele Specific Expression at Population Level -- Exploring DNA Methylation Patterns in the Core Genome of Klebsiella pneumoniae -- A Transfer Learning based Approach to Unveil Kinase specific Phosphorylation Sites of Understudied Kinases -- New Advances in Deep Learning in Bioinformatics and Biomedicine -- Enhancing Echocardiography Quality with Diffusion Neural Models -- AE Obi LSTM An Efficient IOT Wearable Devices for Cardiovascular Disease Prediction -- Deep Learning Based Breast Cancer Subtype Classification from Whole-Slide Images Leveraging the BRACS Dataset -- Bioinformatics based analysis provides a deeper understanding of how microRNAs control transcriptional activity in mumps virus infection -- Training Deep Learning Neural Networks for Predicting CCS using the METLIN CCS Dataset -- Fully automated multi input deep learning-based system to predict COVID 19 patients outcome from imaging and clinical data -- Pain Assessment in Neonatal Clinical Practice via Facial Expression Analysis and Deep Learning -- Novel Methodologies and Applications in Bioinformatics and Biomedicine -- Visualizing Horizontal Gene Transfer Detection in Phylogenetically Divergent Bacteria -- Enhancing MET Copy Number Estimation by Factoring in Tumor Purity and Variant Types -- Microbiome Classification in Colon Cancer Patients using Chaos Game Representations and CNN models -- A Novel Integrative Model of DNA Dynamics Unifying Stochastic Boolean and Combinatorial Approaches -- Unveiling Diversity Classification of Klebsiella pneumoniae Plasmids from Long read Assemblies -- Study on the construction and application of Engineering bacteria -- TextNetTopics SFTS SBTS TextNetTopics Scoring Approaches based Sequential Forward and Backward -- Interpreting Respiratory Syncytial Virus (RSV) Nucleoprotein Mutations A Structural and Functional Perspective. |
| Record Nr. | UNINA-9910882895103321 |
Rojas Ignacio
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bioinformatics and Biomedical Engineering [[electronic resource] ] : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño |
| Autore | Rojas Ignacio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (588 pages) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
ValenzuelaOlga
Rojas RuizFernando HerreraLuis Javier OrtuñoFrancisco |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computer networks Engineering—Data processing Biomedical engineering Computational and Systems Biology Computer Communication Networks Data Engineering Biomedical Engineering and Bioengineering |
| ISBN | 3-031-34953-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Analysis of Molecular Dynamics Data in Proteomics -- Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Class Imbalance Correction Methods -- 2.2 Experimental Setup -- 2.3 Evaluation Metrics for Imbalanced Data Problems -- 3 Results and Discussion -- 3.1 Interpretation Results -- 4 Conclusions -- References -- Identification of InhA-Inhibitors Interaction Fingerprints that Affect Residence Time -- 1 Introduction -- 1.1 Ligand-Receptor Binding Kinetics -- 1.2 Computer Methods to Determine Binding Kinetic Parameters -- 1.3 Research Objective -- 2 Mycobacterium Enoyl Acyl Carrier Protein Reductase (InhA) -- 3 Methods -- 4 Results -- 4.1 Ligand Similarity -- 4.2 Drug-Like Ligand Properties that Affect Residence Time -- 5 Discussion and Conclusions -- References -- Bioinformatics -- Validation of Height-for-Age and BMI-for-Age Z-scores Assessment Using Android-Based Mobile Apps -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Anthropometric Measurements -- 2.3 Z-score Calculation -- 2.4 Statistical Analysis -- 3 Outcomes -- 4 Discussion -- 5 Conclusion -- 6 Limitations -- References -- An Algorithm for Pairwise DNA Sequences Alignment -- 1 Introduction -- 2 Related Work -- 3 An Algorithm for Pairwise DNA Sequences Alignment Based on the Proposed CAT Method -- 4 Experimental Results and Analysis -- 4.1 Implementation of the Proposed Method CAT for Sequences Alignment -- 4.2 Collision Analysis -- 4.3 Performance Analysis -- 5 Conclusion -- References -- Multiallelic Maximal Perfect Haplotype Blocks with Wildcards via PBWT -- 1 Introduction -- 2 Finding Maximal Blocks with Wildcards -- 3 The Algorithm.
3.1 Positional BWT Extended to Wildcards -- 3.2 Building the Extended PBWT -- 3.3 Computing the Maximal Blocks -- 4 Experimental Results -- 5 Conclusions -- References -- GPU Cloud Architectures for Bioinformatic Applications -- 1 Introduction -- 2 GPU Usage in Bioinformatics -- 3 Processing Outsourcing -- 4 GPU Virtualisation in Cloud Architectures -- 5 Architecture Characteristics -- 6 Experiments -- 7 Conclusions -- References -- Biomarker Identification -- Novel Gene Signature for Bladder Cancer Stage Identification -- 1 Introduction -- 2 Data Description -- 3 Metodology -- 3.1 Differential Expressed Genes Extraction and Visualization -- 3.2 Development of Classification Models -- 4 Results and Discussion -- 4.1 Gene Enrichment -- 5 Conclusions -- References -- Predicting Cancer Stage from Circulating microRNA: A Comparative Analysis of Machine Learning Algorithms -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Cohort -- 2.2 Algorithms -- 2.3 Evaluation Metrics -- 2.4 Experimental Design -- 2.5 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- 6 Ethical Statement -- 7 Appendix -- References -- Gait Asymmetry Evaluation Using FMCW Radar in Daily Life Environments -- 1 Introduction -- 2 Methodology -- 2.1 Gait Parameters Definition -- 2.2 FMCW Radar Signal Processing -- 2.3 Extraction of Radar-Based Gait Parameters -- 3 Experimental Setup and Equipment -- 4 Experimental Results -- 4.1 Raw Data Visualization -- 4.2 Gait Parameters Extraction Results -- 5 Conclusion and Further Work -- References -- Biomedical Computing -- Whole Tumor Area Estimation in Incremental Brain MRI Using Dilation and Erosion-Based Binary Morphing -- 1 Introduction -- 2 Morphing Methods -- 3 Experiments -- 4 Results -- 5 Conclusions and Discussions -- References. Three-Dimensional Representation and Visualization of High-Grade and Low-Grade Glioma by Nakagami Imaging -- 1 Introduction -- 2 Nakagami Imaging -- 3 Highlighting Experiments -- 3.1 High-Grade Glioma Experiment -- 3.2 Low-Grade Glioma Experiment -- 4 Results -- 5 Conclusions and Discussions -- References -- Speeding up Simulations for Radiotherapy Research by Means of Machine Learning -- 1 Introduction -- 2 Problem Description -- 2.1 PENELOPE Simulator -- 3 Methodology: Data Generation with PENELOPE and Modeling the Output by Means of Machine Learning Algorithms -- 3.1 Data Generation -- 3.2 Models Evaluated and Hyperparameter Tunning -- 3.3 Implementation Details and Model Deployment -- 4 Experiments and Results -- 4.1 Multi-Output Regression -- 4.2 Single Output Regression -- 5 Conclusions -- References -- A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph -- 1 Introduction -- 2 KG Construction from Bio-Medical Data Sources -- 3 RNA Molecules -- 4 RNA-Based Data Sources -- 5 A Meta-Graph Representing RNA-Centered Relationships -- 6 Concluding Remarks -- References -- Structural Analysis of RNA-Binding Protein EWSR1 Involved in Ewing's Sarcoma Through Domain Assembly and Conformational Molecular Dynamics Studies -- 1 Introduction -- 2 Computational Methodology -- 2.1 Retrieval of Human EWSR1 Sequence and Alignment -- 2.2 EWSR1 Conserved Sequence Analysis -- 2.3 Structure Prediction of Human EWSR1 -- 2.4 Prediction of RNA Motifs Interacting with EWSR1 -- 2.5 Molecular Docking -- 2.6 Molecular Dynamics (MD) Simulations -- 3 Results -- 3.1 Structural Analysis of Predicted EWSR1 -- 3.2 Docking Energy Evaluation -- 3.3 Binding Pocket Conformational and Interaction Analysis -- 3.4 Root Mean Square Deviation Analysis -- 3.5 Radius of Gyration and Solvent Accessible Surface Area -- 4 Conclusion -- References. Pharmacoinformatic Analysis of Drug Leads for Alzheimer's Disease from FDA-Approved Dataset Through Drug Repositioning Studies -- 1 Introduction -- 2 Computational Methodology -- 2.1 Retrieval of MADD Sequence and Protein Modelling -- 2.2 Structure Analysis of MADD Protein -- 2.3 Virtual Screening of Chemical Scaffolds -- 2.4 Active Binding Site of MADD Protein and Docking -- 2.5 Designing of Pharmacogenomics Networks -- 2.6 Molecular Dynamics (MD) Simulations -- 3 Results and Discussion -- 3.1 Predicted Model of MADD Protein -- 3.2 VADAR and Galaxy Refine Analysis -- 3.3 Binding Pocket Analysis of MADD Protein -- 3.4 Shape Based Screening and PyRx Docking -- 3.5 Pharmacogenomics Analysis -- 4 Molecular Docking Using Autodock -- 4.1 Docking Energy Analysis Against Death Domain of MADD -- 4.2 Binding Interaction Profile -- 5 Molecular Dynamic Simulations -- 5.1 Root Mean Square Deviation and Rg Analysis -- 6 Conclusions -- References -- Biomedical Engineering -- Motion Control of a Robotic Lumbar Spine Model -- 1 Introduction -- 2 Related Work -- 3 Kinematics -- 4 Dynamic Model -- 5 PID Controller -- 6 Simulation and Results -- 7 Conclusions -- References -- Annotation-Free Identification of Potential Synteny Anchors -- 1 Background -- 2 Theory and Algorithmic Considerations -- 3 Results -- 3.1 Summary Statistics of Anchor Candidates -- 3.2 Evaluation of Anchor Candidates -- 3.3 Mapping of Anchors Candidates Across Genomes -- 3.4 Two Showcase Applications -- 3.5 Computational Effort -- 4 Discussion and Outlook -- A Genomes Used in this Contribution -- References -- Analysing Dose Parameters of Radiation Therapy Treatment Planning and Estimation of Their Influence on Secondary Cancer Risks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patient Selection -- 2.2 Treatment Planning -- 3 Results and Discussion -- 4 Conclusion -- References. A Platform for the Radiomic Analysis of Brain FDG PET Images: Detecting Alzheimer's Disease -- 1 Introduction -- 2 Methods -- 2.1 Participants and Data -- 2.2 PET Acquisition -- 2.3 ROI Extraction -- 2.4 Feature Extraction -- 2.5 Feature Selection -- 2.6 Classification and Tuning -- 2.7 Computational Hardware and Software -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Biomedical Signal Analysis -- Deep Learning for Automatic Electroencephalographic Signals Classification -- 1 Introduction -- 2 Methodology -- 2.1 Description of EEG Data -- 2.2 EEG Signal Preprocessing -- 2.3 Feature Extraction -- 2.4 Classification -- 3 Results and Discussions -- 3.1 Evaluation -- 4 Conclusions and Future Work -- References -- Evaluation of Homogeneity of Effervescent Tablets Containing Quercetin and Calcium Using X-ray Microtomography and Hyperspectral Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Tablets Selected for Analysis -- 2.2 Evaluation of the Tablets -- 2.3 Hyperspectral Imaging -- 2.4 X-ray Microtomography -- 2.5 Statistical Analysis -- 3 Results -- 3.1 Characteristics of the Tablets -- 3.2 The Analysis of Tablets' Homogeneity Using Hyperspectral Imaging -- 3.3 The Analysis of Inner Homogeneity Using X-ray Microtomography -- 4 Discussion -- 5 Conclusion -- References -- The Effect of Biofeedback on Learning the Wheelie Position on Manual Wheelchair -- 1 Introduction -- 2 Material and Methods -- 2.1 Subjects and Study Design -- 2.2 Materials -- 2.3 Methods -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data -- 1 Introduction -- 2 Methods -- 2.1 Study Design and Participants -- 2.2 Feature Extraction -- 2.3 Data Classification -- 3 Results -- 4 Discussion and Conclusions -- References. Computational Proteomics. |
| Record Nr. | UNISA-996538665103316 |
|
Rojas Ignacio
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and Biomedical Engineering [[electronic resource] ] : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part II / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part II / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño |
| Autore | Rojas Ignacio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (520 pages) |
| Disciplina | 570.285 |
| Altri autori (Persone) |
ValenzuelaOlga
Rojas RuizFernando HerreraLuis Javier OrtuñoFrancisco |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Biomedical engineering Computer networks Engineering—Data processing Computational and Systems Biology Biomedical Engineering and Bioengineering Computer Communication Networks Data Engineering |
| ISBN | 3-031-34960-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Feature Selection, Extraction, and Data Mining in Bioinformatics -- Agent Based Modeling of Fish Shoal Behavior -- 1 Introduction -- 2 Modeling -- 3 Methods -- 3.1 Multi agents Based Modeling and Simulation -- 4 Results and Discussion -- References -- Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation -- 1 Introduction -- 1.1 Biotelemetry -- 1.2 Fish Welfare -- 2 Dataset -- 3 Methods -- 4 Results -- 5 Conclusion -- References -- Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Set -- 2.2 Image Pre-processing -- 2.3 Feature Extraction -- 2.4 Data Pre-processing and Resampling -- 2.5 Feature Selection -- 2.6 Model Training and Evaluation -- 3 Results -- 3.1 Data Pre-processing and Resampling -- 3.2 Feature Extraction -- 3.3 Feature Selection -- 3.4 Performance Evaluation -- 4 Discussion -- 5 Conclusion -- References -- MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model -- 1 Introduction -- 2 Methodology -- 2.1 MetaLLM: Residue-Wise Metal Ion Prediction -- 3 Experiments and Results -- 3.1 Experimental Details -- 3.2 Result Analysis -- 4 Conclusion -- References -- Genome-Phenome Analysis -- Prediction of Functional Effects of Protein Amino Acid Mutations -- 1 Introduction -- 2 Methods -- 2.1 nsSNV Datasets -- 2.2 Protein Mutation Prediction Methodology: The Holdout- nsSNV Algorithm -- 2.3 Consensus Holdout Training and Selection -- 2.4 Extreme Learning Machine -- 2.5 Random Forests -- 3 Results -- 4 Conclusions and Future Directions -- References -- Optimizing Variant Calling for Human Genome Analysis: A Comprehensive Pipeline Approach -- 1 Introduction.
2 Background -- 3 Methods -- 3.1 Reference -- 3.2 Dataset -- 3.3 Quality and Control -- 3.4 Pipeline -- 3.5 Workflow Management and Reproducibility -- 3.6 Benchmarking -- 3.7 Computational Resources -- 4 Results -- 4.1 Different Methods Performance -- 4.2 Computational Time -- 5 Discussion -- 6 Conclusion -- References -- Healthcare and Diseases -- Improving Fetal Health Monitoring: A Review of the Latest Developments and Future Directions -- 1 Introduction -- 2 Methods -- 2.1 Study Design -- 2.2 Search Strategy -- 2.3 Inclusion Criteria -- 2.4 Selection of Studies -- 2.5 Data Analysis -- 3 Result -- 4 Discussion -- 4.1 The Development of Monitoring Devices for Fetal Well-Being -- 4.2 Algorithm for More Accurate Maternal-Fetal FHR Filtering -- 4.3 Fetal Well-Being Indicators -- 4.4 Target Users -- 5 Conclusion -- References -- Deep Learning for Parkinson's Disease Severity Stage Prediction Using a New Dataset -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Dataset Construction -- 3.3 Data Pre-processing -- 3.4 Proposed LSTM Model -- 4 Experiments -- 5 Conclusion -- References -- Improved Long-Term Forecasting of Emergency Department Arrivals with LSTM-Based Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition -- 2.2 Exploration -- 2.3 Analysis Techniques -- 3 Results -- 4 Conclusion -- References -- High-Throughput Genomics: Bioinformatic Tools and Medical Applications -- Targeted Next Generation Sequencing of a Custom Capture Panel to Target Sequence 112 Cancer Related Genes in Breast Cancer Tumors ERBB2 Positive from Lleida (Spain) -- 1 Introduction -- 2 Methods -- 2.1 Breast Cancer Samples -- 2.2 Targeted Sequencing -- 2.3 Data Analysis -- 3 Results -- 3.1 Targeted Sequencing -- 3.2 Gene Signatures -- 4 Discussion -- References. An Accurate Algorithm for Identifying Mutually Exclusive Patterns on Multiple Sets of Genomic Mutations -- 1 Introduction -- 2 Method -- 2.1 Similarity and Mutual Exclusion Measure -- 2.2 Weighted Probability Search -- 2.3 Algorithm Steps -- 3 Discussion -- 3.1 ME Simulation Principle and Evaluation of Result -- 3.2 The Result and Analysis of ME Simulation Experiment -- 3.3 Ms Simulation Data -- 3.4 Real Datasets -- 4 Comparative Experiments and Results -- 5 Conclusion -- References -- A 20-Year Journey of Tracing the Development of Web Catalogues for Rare Diseases -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Implementation -- 3.2 Relationship Between Data Sources -- 3.3 Semantic Structure -- 3.4 Data Readers -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Unsupervised Investigation of Information Captured in Pathway Activity Score in scRNA-Seq Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Tested Pathway Activity Transformation Algorithms -- 2.3 Algorithm's Evaluation -- 3 Results -- 3.1 Cell Type Separation -- 3.2 Clustering Accuracy -- 3.3 Biological Validation -- 4 Conclusions -- References -- Meta-analysis of Gene Activity (MAGA) Contributions and Correlation with Gene Expression, Through GAGAM -- 1 Introduction -- 2 Background -- 2.1 Single-Cell Sequencing Technologies -- 2.2 GAGAM -- 3 Meta-analysis -- 3.1 Peaks Information -- 3.2 Activity-Expression Correlation -- 3.3 Activity-Expression Coherence -- 3.4 Conclusions -- References -- Predicting Papillary Renal Cell Carcinoma Prognosis Using Integrative Analysis of Histopathological Images and Genomic Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Overview -- 2.2 Histopathological Image Processing -- 2.3 Gene Coexpression Analysis -- 2.4 Risk Categorization -- 2.5 Prognosis Prediction Model. 3 Results -- 3.1 Patient Characteristics -- 3.2 Prognosis-related Image Features and Co-expression Gene Module Selection -- 3.3 Enrichment Analysis of the Key Gene Modules -- 3.4 Construction and Evaluation of the Integrative Prognostic Model -- 4 Discussion and Conclusion -- References -- Image Visualization and Signal Analysis -- Medical X-ray Image Classification Method Based on Convolutional Neural Networks -- 1 Introduction -- 2 Image Classification Optimization -- 3 Segmentaion of X-ray Image -- 3.1 Conventional Diagnostics and Segmentation Data -- 3.2 Creating and Training a Segmenting Convolutional Network -- 4 Image Reduction and Neural Network Training -- 4.1 Generating of Segmented Images -- 4.2 Active Regions Computation -- 4.3 Analysis of the Segmented Image -- 4.4 Image Reduction -- 4.5 Training of a Classifying Convolutional Neural Network -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- Digital Breast Tomosynthesis Reconstruction Techniques in Healthcare Systems: A Review -- 1 Introduction -- 2 Tomosynthesis Technology for Breast Imaging -- 2.1 The Advantages of Tomosynthesis Compared to 2D Mammography -- 3 Methods of Reconstruction Phase -- 3.1 The Importance of the Reconstruction Phase in CAD Systems -- 3.2 Back-Projection Algorithms -- 3.3 Transform Algorithms -- 3.4 Algebraic Reconstruction Techniques -- 3.5 Statistical Reconstruction Techniques -- 4 Analysis and Discussions -- 5 Conclusion and Future Works -- References -- BCAnalyzer: A Semi-automated Tool for the Rapid Quantification of Cell Monolayer from Microscopic Images in Scratch Assay -- 1 Introduction -- 2 Materials and Methods -- 2.1 Sample Images Used for the Algorithm Demonstration -- 2.2 Image Set for a Systematic Algorithm Performance Validation -- 3 Software Implementation -- 4 Results and Discussion. 4.1 Prominent Examples of Cell Scratch Assay Analysis for Different Cell Lines -- 4.2 Systematic Algorithm Validation Using Previously Reported Reference Image Sets -- 5 Conclusion -- References -- Color Hippocampus Image Segmentation Using Quantum Inspired Firefly Algorithm and Merging of Channel-Wise Optimums -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 4 Experimental Setup -- 5 Result and Analysis -- 6 Conclusion -- References -- Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 The Used Datasets -- 3.2 Graph Neural Networks -- 3.3 Graph Construction -- 3.4 Experimental Setup -- 4 Results -- 5 Ablation Study -- 6 Conclusions -- References -- A Pilot Study of Neuroaesthetics Based on the Analysis of Electroencephalographic Connectivity Networks in the Visualization of Different Dance Choreography Styles -- 1 Introduction -- 2 Methods of Data Recording and Analysis -- 2.1 Experimental Paradigm -- 2.2 Processing and Analysis Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Machine Learning in Bioinformatics and Biomedicine -- Ethical Dilemmas, Mental Health, Artificial Intelligence, and LLM-Based Chatbots -- 1 Introduction -- 2 Methodology -- 3 Data Extraction and Analysis Procedure -- 4 Results -- 5 Ethical Analysis -- 6 Conclusions -- 7 LLM Chatbots, Quality of Care, Responsible Research, and Development in Mental Health -- 8 Access, Exclusion, and User Dependence on Chatbots -- 9 Responsibility and Human Supervision of Chatbots -- 10 Regulation and Chatbot Usage Policies -- 11 Limitations of the Present Review -- References -- Cyclical Learning Rates (CLR'S) for Improving Training Accuracies and Lowering Computational Cost -- 1 Introduction -- 2 Experimental Results and Analysis. 2.1 Data Collection, Preprocessing, Model Architecture, and Learning Rates. |
| Record Nr. | UNISA-996538664803316 |
|
Rojas Ignacio
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part II / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño
| Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part II / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño |
| Autore | Rojas Ignacio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (520 pages) |
| Disciplina |
570.285
610.28 |
| Altri autori (Persone) |
ValenzuelaOlga
Rojas RuizFernando HerreraLuis Javier OrtuñoFrancisco |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Biomedical engineering Computer networks Engineering - Data processing Computational and Systems Biology Biomedical Engineering and Bioengineering Computer Communication Networks Data Engineering |
| ISBN | 3-031-34960-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Feature Selection, Extraction, and Data Mining in Bioinformatics -- Agent Based Modeling of Fish Shoal Behavior -- 1 Introduction -- 2 Modeling -- 3 Methods -- 3.1 Multi agents Based Modeling and Simulation -- 4 Results and Discussion -- References -- Entropy Approach of Processing for Fish Acoustic Telemetry Data to Detect Atypical Behavior During Welfare Evaluation -- 1 Introduction -- 1.1 Biotelemetry -- 1.2 Fish Welfare -- 2 Dataset -- 3 Methods -- 4 Results -- 5 Conclusion -- References -- Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Set -- 2.2 Image Pre-processing -- 2.3 Feature Extraction -- 2.4 Data Pre-processing and Resampling -- 2.5 Feature Selection -- 2.6 Model Training and Evaluation -- 3 Results -- 3.1 Data Pre-processing and Resampling -- 3.2 Feature Extraction -- 3.3 Feature Selection -- 3.4 Performance Evaluation -- 4 Discussion -- 5 Conclusion -- References -- MetaLLM: Residue-Wise Metal Ion Prediction Using Deep Transformer Model -- 1 Introduction -- 2 Methodology -- 2.1 MetaLLM: Residue-Wise Metal Ion Prediction -- 3 Experiments and Results -- 3.1 Experimental Details -- 3.2 Result Analysis -- 4 Conclusion -- References -- Genome-Phenome Analysis -- Prediction of Functional Effects of Protein Amino Acid Mutations -- 1 Introduction -- 2 Methods -- 2.1 nsSNV Datasets -- 2.2 Protein Mutation Prediction Methodology: The Holdout- nsSNV Algorithm -- 2.3 Consensus Holdout Training and Selection -- 2.4 Extreme Learning Machine -- 2.5 Random Forests -- 3 Results -- 4 Conclusions and Future Directions -- References -- Optimizing Variant Calling for Human Genome Analysis: A Comprehensive Pipeline Approach -- 1 Introduction.
2 Background -- 3 Methods -- 3.1 Reference -- 3.2 Dataset -- 3.3 Quality and Control -- 3.4 Pipeline -- 3.5 Workflow Management and Reproducibility -- 3.6 Benchmarking -- 3.7 Computational Resources -- 4 Results -- 4.1 Different Methods Performance -- 4.2 Computational Time -- 5 Discussion -- 6 Conclusion -- References -- Healthcare and Diseases -- Improving Fetal Health Monitoring: A Review of the Latest Developments and Future Directions -- 1 Introduction -- 2 Methods -- 2.1 Study Design -- 2.2 Search Strategy -- 2.3 Inclusion Criteria -- 2.4 Selection of Studies -- 2.5 Data Analysis -- 3 Result -- 4 Discussion -- 4.1 The Development of Monitoring Devices for Fetal Well-Being -- 4.2 Algorithm for More Accurate Maternal-Fetal FHR Filtering -- 4.3 Fetal Well-Being Indicators -- 4.4 Target Users -- 5 Conclusion -- References -- Deep Learning for Parkinson's Disease Severity Stage Prediction Using a New Dataset -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Data Acquisition -- 3.2 Dataset Construction -- 3.3 Data Pre-processing -- 3.4 Proposed LSTM Model -- 4 Experiments -- 5 Conclusion -- References -- Improved Long-Term Forecasting of Emergency Department Arrivals with LSTM-Based Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition -- 2.2 Exploration -- 2.3 Analysis Techniques -- 3 Results -- 4 Conclusion -- References -- High-Throughput Genomics: Bioinformatic Tools and Medical Applications -- Targeted Next Generation Sequencing of a Custom Capture Panel to Target Sequence 112 Cancer Related Genes in Breast Cancer Tumors ERBB2 Positive from Lleida (Spain) -- 1 Introduction -- 2 Methods -- 2.1 Breast Cancer Samples -- 2.2 Targeted Sequencing -- 2.3 Data Analysis -- 3 Results -- 3.1 Targeted Sequencing -- 3.2 Gene Signatures -- 4 Discussion -- References. An Accurate Algorithm for Identifying Mutually Exclusive Patterns on Multiple Sets of Genomic Mutations -- 1 Introduction -- 2 Method -- 2.1 Similarity and Mutual Exclusion Measure -- 2.2 Weighted Probability Search -- 2.3 Algorithm Steps -- 3 Discussion -- 3.1 ME Simulation Principle and Evaluation of Result -- 3.2 The Result and Analysis of ME Simulation Experiment -- 3.3 Ms Simulation Data -- 3.4 Real Datasets -- 4 Comparative Experiments and Results -- 5 Conclusion -- References -- A 20-Year Journey of Tracing the Development of Web Catalogues for Rare Diseases -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Implementation -- 3.2 Relationship Between Data Sources -- 3.3 Semantic Structure -- 3.4 Data Readers -- 4 Results -- 5 Discussion -- 6 Conclusions -- References -- Unsupervised Investigation of Information Captured in Pathway Activity Score in scRNA-Seq Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Acquisition and Pre-processing -- 2.2 Tested Pathway Activity Transformation Algorithms -- 2.3 Algorithm's Evaluation -- 3 Results -- 3.1 Cell Type Separation -- 3.2 Clustering Accuracy -- 3.3 Biological Validation -- 4 Conclusions -- References -- Meta-analysis of Gene Activity (MAGA) Contributions and Correlation with Gene Expression, Through GAGAM -- 1 Introduction -- 2 Background -- 2.1 Single-Cell Sequencing Technologies -- 2.2 GAGAM -- 3 Meta-analysis -- 3.1 Peaks Information -- 3.2 Activity-Expression Correlation -- 3.3 Activity-Expression Coherence -- 3.4 Conclusions -- References -- Predicting Papillary Renal Cell Carcinoma Prognosis Using Integrative Analysis of Histopathological Images and Genomic Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Overview -- 2.2 Histopathological Image Processing -- 2.3 Gene Coexpression Analysis -- 2.4 Risk Categorization -- 2.5 Prognosis Prediction Model. 3 Results -- 3.1 Patient Characteristics -- 3.2 Prognosis-related Image Features and Co-expression Gene Module Selection -- 3.3 Enrichment Analysis of the Key Gene Modules -- 3.4 Construction and Evaluation of the Integrative Prognostic Model -- 4 Discussion and Conclusion -- References -- Image Visualization and Signal Analysis -- Medical X-ray Image Classification Method Based on Convolutional Neural Networks -- 1 Introduction -- 2 Image Classification Optimization -- 3 Segmentaion of X-ray Image -- 3.1 Conventional Diagnostics and Segmentation Data -- 3.2 Creating and Training a Segmenting Convolutional Network -- 4 Image Reduction and Neural Network Training -- 4.1 Generating of Segmented Images -- 4.2 Active Regions Computation -- 4.3 Analysis of the Segmented Image -- 4.4 Image Reduction -- 4.5 Training of a Classifying Convolutional Neural Network -- 5 Experimental Results and Discussion -- 6 Conclusion -- References -- Digital Breast Tomosynthesis Reconstruction Techniques in Healthcare Systems: A Review -- 1 Introduction -- 2 Tomosynthesis Technology for Breast Imaging -- 2.1 The Advantages of Tomosynthesis Compared to 2D Mammography -- 3 Methods of Reconstruction Phase -- 3.1 The Importance of the Reconstruction Phase in CAD Systems -- 3.2 Back-Projection Algorithms -- 3.3 Transform Algorithms -- 3.4 Algebraic Reconstruction Techniques -- 3.5 Statistical Reconstruction Techniques -- 4 Analysis and Discussions -- 5 Conclusion and Future Works -- References -- BCAnalyzer: A Semi-automated Tool for the Rapid Quantification of Cell Monolayer from Microscopic Images in Scratch Assay -- 1 Introduction -- 2 Materials and Methods -- 2.1 Sample Images Used for the Algorithm Demonstration -- 2.2 Image Set for a Systematic Algorithm Performance Validation -- 3 Software Implementation -- 4 Results and Discussion. 4.1 Prominent Examples of Cell Scratch Assay Analysis for Different Cell Lines -- 4.2 Systematic Algorithm Validation Using Previously Reported Reference Image Sets -- 5 Conclusion -- References -- Color Hippocampus Image Segmentation Using Quantum Inspired Firefly Algorithm and Merging of Channel-Wise Optimums -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 4 Experimental Setup -- 5 Result and Analysis -- 6 Conclusion -- References -- Breast Cancer Histologic Grade Identification by Graph Neural Network Embeddings -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 The Used Datasets -- 3.2 Graph Neural Networks -- 3.3 Graph Construction -- 3.4 Experimental Setup -- 4 Results -- 5 Ablation Study -- 6 Conclusions -- References -- A Pilot Study of Neuroaesthetics Based on the Analysis of Electroencephalographic Connectivity Networks in the Visualization of Different Dance Choreography Styles -- 1 Introduction -- 2 Methods of Data Recording and Analysis -- 2.1 Experimental Paradigm -- 2.2 Processing and Analysis Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Machine Learning in Bioinformatics and Biomedicine -- Ethical Dilemmas, Mental Health, Artificial Intelligence, and LLM-Based Chatbots -- 1 Introduction -- 2 Methodology -- 3 Data Extraction and Analysis Procedure -- 4 Results -- 5 Ethical Analysis -- 6 Conclusions -- 7 LLM Chatbots, Quality of Care, Responsible Research, and Development in Mental Health -- 8 Access, Exclusion, and User Dependence on Chatbots -- 9 Responsibility and Human Supervision of Chatbots -- 10 Regulation and Chatbot Usage Policies -- 11 Limitations of the Present Review -- References -- Cyclical Learning Rates (CLR'S) for Improving Training Accuracies and Lowering Computational Cost -- 1 Introduction -- 2 Experimental Results and Analysis. 2.1 Data Collection, Preprocessing, Model Architecture, and Learning Rates. |
| Record Nr. | UNINA-9910734849103321 |
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Rojas Ignacio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño
| Bioinformatics and Biomedical Engineering : 10th International Work-Conference, IWBBIO 2023, Meloneras, Gran Canaria, Spain, July 12–14, 2023, Proceedings, Part I / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas Ruiz, Luis Javier Herrera, Francisco Ortuño |
| Autore | Rojas Ignacio |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (588 pages) |
| Disciplina |
570.285
610.28 |
| Altri autori (Persone) |
ValenzuelaOlga
Rojas RuizFernando HerreraLuis Javier OrtuñoFrancisco |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computer networks Engineering - Data processing Biomedical engineering Computational and Systems Biology Computer Communication Networks Data Engineering Biomedical Engineering and Bioengineering |
| ISBN | 3-031-34953-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Analysis of Molecular Dynamics Data in Proteomics -- Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Class Imbalance Correction Methods -- 2.2 Experimental Setup -- 2.3 Evaluation Metrics for Imbalanced Data Problems -- 3 Results and Discussion -- 3.1 Interpretation Results -- 4 Conclusions -- References -- Identification of InhA-Inhibitors Interaction Fingerprints that Affect Residence Time -- 1 Introduction -- 1.1 Ligand-Receptor Binding Kinetics -- 1.2 Computer Methods to Determine Binding Kinetic Parameters -- 1.3 Research Objective -- 2 Mycobacterium Enoyl Acyl Carrier Protein Reductase (InhA) -- 3 Methods -- 4 Results -- 4.1 Ligand Similarity -- 4.2 Drug-Like Ligand Properties that Affect Residence Time -- 5 Discussion and Conclusions -- References -- Bioinformatics -- Validation of Height-for-Age and BMI-for-Age Z-scores Assessment Using Android-Based Mobile Apps -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 Anthropometric Measurements -- 2.3 Z-score Calculation -- 2.4 Statistical Analysis -- 3 Outcomes -- 4 Discussion -- 5 Conclusion -- 6 Limitations -- References -- An Algorithm for Pairwise DNA Sequences Alignment -- 1 Introduction -- 2 Related Work -- 3 An Algorithm for Pairwise DNA Sequences Alignment Based on the Proposed CAT Method -- 4 Experimental Results and Analysis -- 4.1 Implementation of the Proposed Method CAT for Sequences Alignment -- 4.2 Collision Analysis -- 4.3 Performance Analysis -- 5 Conclusion -- References -- Multiallelic Maximal Perfect Haplotype Blocks with Wildcards via PBWT -- 1 Introduction -- 2 Finding Maximal Blocks with Wildcards -- 3 The Algorithm.
3.1 Positional BWT Extended to Wildcards -- 3.2 Building the Extended PBWT -- 3.3 Computing the Maximal Blocks -- 4 Experimental Results -- 5 Conclusions -- References -- GPU Cloud Architectures for Bioinformatic Applications -- 1 Introduction -- 2 GPU Usage in Bioinformatics -- 3 Processing Outsourcing -- 4 GPU Virtualisation in Cloud Architectures -- 5 Architecture Characteristics -- 6 Experiments -- 7 Conclusions -- References -- Biomarker Identification -- Novel Gene Signature for Bladder Cancer Stage Identification -- 1 Introduction -- 2 Data Description -- 3 Metodology -- 3.1 Differential Expressed Genes Extraction and Visualization -- 3.2 Development of Classification Models -- 4 Results and Discussion -- 4.1 Gene Enrichment -- 5 Conclusions -- References -- Predicting Cancer Stage from Circulating microRNA: A Comparative Analysis of Machine Learning Algorithms -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Cohort -- 2.2 Algorithms -- 2.3 Evaluation Metrics -- 2.4 Experimental Design -- 2.5 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- 6 Ethical Statement -- 7 Appendix -- References -- Gait Asymmetry Evaluation Using FMCW Radar in Daily Life Environments -- 1 Introduction -- 2 Methodology -- 2.1 Gait Parameters Definition -- 2.2 FMCW Radar Signal Processing -- 2.3 Extraction of Radar-Based Gait Parameters -- 3 Experimental Setup and Equipment -- 4 Experimental Results -- 4.1 Raw Data Visualization -- 4.2 Gait Parameters Extraction Results -- 5 Conclusion and Further Work -- References -- Biomedical Computing -- Whole Tumor Area Estimation in Incremental Brain MRI Using Dilation and Erosion-Based Binary Morphing -- 1 Introduction -- 2 Morphing Methods -- 3 Experiments -- 4 Results -- 5 Conclusions and Discussions -- References. Three-Dimensional Representation and Visualization of High-Grade and Low-Grade Glioma by Nakagami Imaging -- 1 Introduction -- 2 Nakagami Imaging -- 3 Highlighting Experiments -- 3.1 High-Grade Glioma Experiment -- 3.2 Low-Grade Glioma Experiment -- 4 Results -- 5 Conclusions and Discussions -- References -- Speeding up Simulations for Radiotherapy Research by Means of Machine Learning -- 1 Introduction -- 2 Problem Description -- 2.1 PENELOPE Simulator -- 3 Methodology: Data Generation with PENELOPE and Modeling the Output by Means of Machine Learning Algorithms -- 3.1 Data Generation -- 3.2 Models Evaluated and Hyperparameter Tunning -- 3.3 Implementation Details and Model Deployment -- 4 Experiments and Results -- 4.1 Multi-Output Regression -- 4.2 Single Output Regression -- 5 Conclusions -- References -- A Meta-Graph for the Construction of an RNA-Centered Knowledge Graph -- 1 Introduction -- 2 KG Construction from Bio-Medical Data Sources -- 3 RNA Molecules -- 4 RNA-Based Data Sources -- 5 A Meta-Graph Representing RNA-Centered Relationships -- 6 Concluding Remarks -- References -- Structural Analysis of RNA-Binding Protein EWSR1 Involved in Ewing's Sarcoma Through Domain Assembly and Conformational Molecular Dynamics Studies -- 1 Introduction -- 2 Computational Methodology -- 2.1 Retrieval of Human EWSR1 Sequence and Alignment -- 2.2 EWSR1 Conserved Sequence Analysis -- 2.3 Structure Prediction of Human EWSR1 -- 2.4 Prediction of RNA Motifs Interacting with EWSR1 -- 2.5 Molecular Docking -- 2.6 Molecular Dynamics (MD) Simulations -- 3 Results -- 3.1 Structural Analysis of Predicted EWSR1 -- 3.2 Docking Energy Evaluation -- 3.3 Binding Pocket Conformational and Interaction Analysis -- 3.4 Root Mean Square Deviation Analysis -- 3.5 Radius of Gyration and Solvent Accessible Surface Area -- 4 Conclusion -- References. Pharmacoinformatic Analysis of Drug Leads for Alzheimer's Disease from FDA-Approved Dataset Through Drug Repositioning Studies -- 1 Introduction -- 2 Computational Methodology -- 2.1 Retrieval of MADD Sequence and Protein Modelling -- 2.2 Structure Analysis of MADD Protein -- 2.3 Virtual Screening of Chemical Scaffolds -- 2.4 Active Binding Site of MADD Protein and Docking -- 2.5 Designing of Pharmacogenomics Networks -- 2.6 Molecular Dynamics (MD) Simulations -- 3 Results and Discussion -- 3.1 Predicted Model of MADD Protein -- 3.2 VADAR and Galaxy Refine Analysis -- 3.3 Binding Pocket Analysis of MADD Protein -- 3.4 Shape Based Screening and PyRx Docking -- 3.5 Pharmacogenomics Analysis -- 4 Molecular Docking Using Autodock -- 4.1 Docking Energy Analysis Against Death Domain of MADD -- 4.2 Binding Interaction Profile -- 5 Molecular Dynamic Simulations -- 5.1 Root Mean Square Deviation and Rg Analysis -- 6 Conclusions -- References -- Biomedical Engineering -- Motion Control of a Robotic Lumbar Spine Model -- 1 Introduction -- 2 Related Work -- 3 Kinematics -- 4 Dynamic Model -- 5 PID Controller -- 6 Simulation and Results -- 7 Conclusions -- References -- Annotation-Free Identification of Potential Synteny Anchors -- 1 Background -- 2 Theory and Algorithmic Considerations -- 3 Results -- 3.1 Summary Statistics of Anchor Candidates -- 3.2 Evaluation of Anchor Candidates -- 3.3 Mapping of Anchors Candidates Across Genomes -- 3.4 Two Showcase Applications -- 3.5 Computational Effort -- 4 Discussion and Outlook -- A Genomes Used in this Contribution -- References -- Analysing Dose Parameters of Radiation Therapy Treatment Planning and Estimation of Their Influence on Secondary Cancer Risks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patient Selection -- 2.2 Treatment Planning -- 3 Results and Discussion -- 4 Conclusion -- References. A Platform for the Radiomic Analysis of Brain FDG PET Images: Detecting Alzheimer's Disease -- 1 Introduction -- 2 Methods -- 2.1 Participants and Data -- 2.2 PET Acquisition -- 2.3 ROI Extraction -- 2.4 Feature Extraction -- 2.5 Feature Selection -- 2.6 Classification and Tuning -- 2.7 Computational Hardware and Software -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Biomedical Signal Analysis -- Deep Learning for Automatic Electroencephalographic Signals Classification -- 1 Introduction -- 2 Methodology -- 2.1 Description of EEG Data -- 2.2 EEG Signal Preprocessing -- 2.3 Feature Extraction -- 2.4 Classification -- 3 Results and Discussions -- 3.1 Evaluation -- 4 Conclusions and Future Work -- References -- Evaluation of Homogeneity of Effervescent Tablets Containing Quercetin and Calcium Using X-ray Microtomography and Hyperspectral Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Tablets Selected for Analysis -- 2.2 Evaluation of the Tablets -- 2.3 Hyperspectral Imaging -- 2.4 X-ray Microtomography -- 2.5 Statistical Analysis -- 3 Results -- 3.1 Characteristics of the Tablets -- 3.2 The Analysis of Tablets' Homogeneity Using Hyperspectral Imaging -- 3.3 The Analysis of Inner Homogeneity Using X-ray Microtomography -- 4 Discussion -- 5 Conclusion -- References -- The Effect of Biofeedback on Learning the Wheelie Position on Manual Wheelchair -- 1 Introduction -- 2 Material and Methods -- 2.1 Subjects and Study Design -- 2.2 Materials -- 2.3 Methods -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Preliminary Study on the Identification of Diseases by Electrocardiography Sensors' Data -- 1 Introduction -- 2 Methods -- 2.1 Study Design and Participants -- 2.2 Feature Extraction -- 2.3 Data Classification -- 3 Results -- 4 Discussion and Conclusions -- References. Computational Proteomics. |
| Record Nr. | UNINA-9910734840903321 |
|
Rojas Ignacio
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bioinformatics and Biomedical Engineering [[electronic resource] ] : 8th International Work-Conference, IWBBIO 2020, Granada, Spain, May 6–8, 2020, Proceedings / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 8th International Work-Conference, IWBBIO 2020, Granada, Spain, May 6–8, 2020, Proceedings / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco Ortuño |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (843 pages) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computer communication systems Optical data processing Computers Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Information Systems and Communication Service Computing Milieux |
| ISBN | 3-030-45385-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biomarker Identification -- Biomedical Engineering -- Biomedical Signal Analysis -- Bio-Nanotechnology -- Computational Approaches for Drug Design and Personalized Medicine -- Computational Proteomics and Protein-Protein Interactions -- Data Mining from UV/VIS/NIR Imaging and Spectrophotometry -- E-Health Technology, Services and Applications -- Evolving Towards Digital Twins in Healthcare (EDITH) -- High Performance in Bioinformatics -- High-Throughput Genomics: Bioinformatic Tools and Medical Applications -- Machine Learning in Bioinformatics -- Medical Image Processing -- Simulation and Visualization of Biological Systems. . |
| Record Nr. | UNISA-996418215203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and Biomedical Engineering : 8th International Work-Conference, IWBBIO 2020, Granada, Spain, May 6–8, 2020, Proceedings / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco Ortuño
| Bioinformatics and Biomedical Engineering : 8th International Work-Conference, IWBBIO 2020, Granada, Spain, May 6–8, 2020, Proceedings / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Francisco Ortuño |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (843 pages) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Computer networks Image processing - Digital techniques Computer vision Computers Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux |
| ISBN | 3-030-45385-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biomarker Identification -- Biomedical Engineering -- Biomedical Signal Analysis -- Bio-Nanotechnology -- Computational Approaches for Drug Design and Personalized Medicine -- Computational Proteomics and Protein-Protein Interactions -- Data Mining from UV/VIS/NIR Imaging and Spectrophotometry -- E-Health Technology, Services and Applications -- Evolving Towards Digital Twins in Healthcare (EDITH) -- High Performance in Bioinformatics -- High-Throughput Genomics: Bioinformatic Tools and Medical Applications -- Machine Learning in Bioinformatics -- Medical Image Processing -- Simulation and Visualization of Biological Systems. . |
| Record Nr. | UNINA-9910409672403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bioinformatics and Biomedical Engineering [[electronic resource] ] : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco Ortuño
| Bioinformatics and Biomedical Engineering [[electronic resource] ] : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part II / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco Ortuño |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXIX, 587 p. 313 illus., 255 illus. in color.) |
| Disciplina | 572.80285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Machine learning Natural language processing (Computer science) Optical data processing Computers Mathematical logic Computational Biology/Bioinformatics Machine Learning Natural Language Processing (NLP) Image Processing and Computer Vision Information Systems and Communication Service Mathematical Logic and Formal Languages |
| ISBN | 3-030-17935-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Bioinformatics for healthcare and diseases -- Developing a DEVS-JAVA model to simulate and pre-test changes to emergency care delivery in a safe and efficient manner -- Concept Bag: A New Method for Computing Concept Similarity in Biomedical Data -- A reliable method to remove batch effects maintaining group differences in lymphoma methylation case study -- Predict breast tumor response to chemotherapy using a 3D deep learning architecture applied to DCE-MRI data -- Data Fusion for Improving Sleep Apnoea Detection from Single-lead ECG Derived Respiration -- Instrumented shoes for 3D GRF analysis and characterization of human gait -- Novel Four Stages Classification of Breast Cancer Using Infrared Thermal Imaging and a Deep Learning Model -- Comparison of numerical and laboratory experiment examining deformation of red blood cell -- Levenberg-Marquardt variants in chrominance-based skin tissue detection -- A mini-review of Biomedical Infrared Thermography (B-IRT) -- Mathematical Modeling and Docking of Medicinal Plants and Synthetic drugs to determine their effects on Abnormal Expression of Cholinesterase and Acetyl Cholinesterase Proteins in Alzheimer -- Definition of Organic Processes via Digital Monitoring Systems -- Detection of Pools of Bacteria with Public Health Importance in Wastewater Effluent from a Municipality in South Africa using Next Generation Sequencing and Metagenomics Analysis -- Computational genomics/proteomics -- Web-based application for accurately classifying cancer type from microarray gene expression data using a support vector machine (SVM) learning algorithm -- Associating Protein Domains with Biological Functions: A Tripartite Network Approach -- Interaction of ZIKV NS5 and STAT2 explored by Molecular Modeling, Docking, and Simulations Studies -- Entropy-based detection of genetic markers for bacteria genotyping -- Clustering of Klebsiella Strains Based on Variability in Sequencing Data -- Addition of pathway-based information to improve predictions in transcriptomics -- Common Gene Regulatory Network for Anxiety Disorder using Cytoscape: Detection and Analysis -- Insight about nonlinear dimensionality reduction methods applied to protein molecular dynamics -- Computational systems for modelling biological processes -- HIV Drug Resistance Prediction with Categorical Kernel Functions -- Deciphering general characteristics of residues constituting allosteric communication paths -- Feature (Gene) Selection in Linear Homogeneous Cuts -- DNA Sequence Alignment Method Based on Trilateration -- Convolutional Neural Networks for Red Blood Cell Trajectory Prediction in Simulation of Blood Flow -- Platform for Adaptive Knowledge Discovery and Decision Making Based on Big Genomics Data Analytics -- Simulation Approaches to Stretching of Red Blood Cells -- Describing sequential association patterns from longitudinal microarray data sets in humans -- Biomedical Engineering -- Low resolution electroencephalographic-signals-driven semantic retrieval: Preliminary results -- A simpler command of motor using BCI -- A Biomechanical Model Implementation for Upper-Limbs Rehabilitation Monitoring Using IMUs -- Non-generalized analysis of the multimodal signals for emotion recognition: preliminary results -- Variables in a Group of Young Overweight Men -- Brain Hematoma Segmentation Using Active Learning and an Active Contour Model -- DYNLO: Enhancing Non-Linear Regularized State Observer Brain Mapping Technique by Parameter Estimation with Extended -- Analysis of the behavior of the red blood cell model in a tapered microchannel -- Radiofrequency Ablation for Treating Chronic Pain of Bones: Effects of Nerve Locations -- Biomedical image analysis -- Visualization and Cognitive Graphics in Medical Scientific Research -- Detection of static objects in an image based on texture analysis -- Artefacts Recognition and Elimination in Video Sequences with Ciliary Respiratory Epithelium -- Cross Modality Microscopy Segmentation via Adversarial Adaptation -- Assessment of pain-induced changes in cerebral microcirculation by imaging photoplethysmography -- Detection of Subclinical Keratoconus Using Biometric Parameters -- A Computer Based Blastomere Identification and Evaluation Method for Day 2 Embryos during IVF/ICSI Treatments -- Detection of breast cancer using infrared thermography and deep neural networks -- Development of an ECG Smart Jersey based on Next Generation Computing for Automated Detection of Heart Defects among Athletes -- Biomedicine and e-Health -- Analysis of finger thermoregulation by using signal processing techniques -- Development of smart-technology for prediction drug properties based on modified algorithms of artificial immune systems and ontological models -- Comparative study of Feature Selection methods for Medical Full Text Classification -- Estimation of Lung Properties Using ANN-Based Inverse Modeling of Spirometric Data -- Model of the mouth pressure signal during pauses in total liquid ventilation. |
| Record Nr. | UNISA-996466189303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Bioinformatics and biomedical engineering [[electronic resource] ] : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part I / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco Ortuño
| Bioinformatics and biomedical engineering [[electronic resource] ] : 7th International Work-Conference, IWBBIO 2019, Granada, Spain, May 8-10, 2019, Proceedings, Part I / / edited by Ignacio Rojas, Olga Valenzuela, Fernando Rojas, Francisco Ortuño |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XXX, 527 p. 208 illus., 153 illus. in color.) |
| Disciplina | 570.285 |
| Collana | Lecture Notes in Bioinformatics |
| Soggetto topico |
Bioinformatics
Machine learning Natural language processing (Computer science) Optical data processing Computers Mathematical logic Computational Biology/Bioinformatics Machine Learning Natural Language Processing (NLP) Image Processing and Computer Vision Information Systems and Communication Service Mathematical Logic and Formal Languages |
| ISBN | 3-030-17938-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | High-throughput genomics: bioinformatic tools and medical applications -- A Coarse-Grained Representation for Discretizable Distance Geometry with Interval Data -- Fragment-based Drug Design to Discover Novel Inhibitor of Dipeptidyl Peptidase-4 as a Potential Drug for Type 2 Diabetes Therapy -- Discovery of Novel Alpha-Amylase Inhibitors For Type II Diabetes Mellitus Through The Fragment-Based Drug Design -- Compression of Nanopore FASTQ files -- De novo Transcriptome Global Assembly of Solea senegalensis v5.0 Using TransFlow -- Deciphering the role of PKC in calpain-CAST system through formal modeling approach -- The Application of Machine Learning Algorithms to Diagnose CKD Stages and Identify Critical Metabolites Features -- Expression change correlations between transposons and adjacent genes in lung cancer reveal a genomic location dependence and highlights cancer-significant genes -- Signal processing based CNV detection in bacterial genomes -- Omics data acquisition, processing, and analysis -- Dependency Model for Visible Aquaphotomics -- Image based individual identification of Sumatra barb (Puntigrus tetrazona) -- Alignment of Sequences Allowing for Non-Overlapping Unbalanced Translocations of Adjacent Factors -- Probability in HPLC-MS metabolomics -- Pipeline for Electron Microscopy Images Processing -- A Greedy Algorithm for Detecting Mutually Exclusive Patterns in Cancer Mutation Data -- Qualitative Comparison of Selected Indel Detection Methods for RNA-Seq Data -- Structural and functional features of glutathione reductase transcripts from olive (Olea europaea L.) seeds -- Bioinformatics approaches for analyzing cancer sequencing data -- Prediction of thermophilic proteins using voting algorithm -- Classifying Breast Cancer Histopathological Images Using A Robust Artificial Neural Network Architecture -- Spatial Attention Lesion Detection on Automated Breast Ultrasound -- Essential Protein Detection from Protein-Protein Interaction Networks Using Immune Algorithm -- Integrating multiple datasets to discover stage-specific cancer related genes and stage-specific pathways -- Integrated detection of copy number variation based on assembly of NGS and 3GS data -- Protein Remote Homology Detection based on Profiles -- Next generation sequencing and sequence analysis -- Reads in NGS are distributed over a sequence very inhomogeneously -- Differential Expression Analysis of ZIKV Infected Human RNA Sequence Reveals Potential Genetic Biomarkers -- Identification of Immunoglobulin Gene Usage in Immune Repertoires Sequenced by Nanopore Technology -- Flexible and Efficient Algorithms for Abelian Matching in Genome Sequences -- Analysis of gene regulatory networks inferred from ChIP-seq data -- Structural Bioinformatics and Function -- Function vs. taxonomy: the case of fungi mitochondria ATP synthase genes -- Non-Coding Regions of Chloroplast Genomes Exhibit a Structuredness of Five Types -- Characteristics of Protein Fold Space Exhibits Close Dependence on Domain Usage -- Triplet Frequencies Implementation in Total Transcriptome Analysis -- A hierarchical and scalable strategy for protein structural classification -- Protein structural signatures revisited: geometric linearity of main chains are more relevant to classification performance than packing of residues -- Telemedicine for Smart Homes and Remote Monitoring -- Positioning Method for Arterial Blood Pressure Monitoring Wearable Sensor -- Study of the detection of falls using the SVM algorithm, different datasets of movements and ANOVA -- Influence of illuminance on sleep onset latency in IoT based lighting system environment -- Clustering and analysis of Biological Sequences with Optimization Algorithms -- Efficient online Laplacian eigenmap computation for dimensionality reduction in molecular phylogeny via optimisation on the sphere -- PROcket, an efficient algorithm to predict Protein Ligand Binding Site -- Gene Expression High-Dimensional Clustering towards a Novel, Robust, Clinically Relevant and Highly Compact Cancer Signature -- Computational Approaches for Drug Repurposing and Personalized Medicine -- When Mathematics Outsmarts Cancer -- Influence of the stochasticity in the model on the certain drugs pharmacodynamics -- Graph Model for the Identification of Multi-Target Drug Information for Culinary Herbs -- On Identifying Candidates for Drug Repurposing for the Treatment of Ulcerative Colitis using Gene Expression. . |
| Record Nr. | UNISA-996466188903316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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