Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Bioinformatics and Biomedical Engineering : 11th International Conference, IWBBIO 2024, Meloneras, Gran Canaria, Spain, July 15–17, 2024, Proceedings, Part I / / 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 I / / 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 (380 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 |
9783031646294
9783031646287 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biomarker Identification -- Elucidating cancer subtypes by using epigenome and genome cross talk -- Refining Gene Selection and Outlier Detection in Glioblastoma Based on a Consensus Approach for Regularized Survival Models -- GPACDA circRNAisease association prediction with generating polynomials -- Bioinformatics analysis provides insight into the identification of miRNAs as transcriptional regulators in respiratory syncytial virus infection -- Biomedical Engineering -- Risk Factors of Recurrence and Metastasis of Breast Cancer Sub types Based on Magnetic Resonance Imaging techniques -- Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification Impact on Energy Time and Accuracy -- Naıve Bayes for Health Status Predictive Monitoring in COVID 19 Leveraging Drugs and Diagnoses -- Speech Analysis for Autism Spectrum Disorder Detection for Children -- SiMHOMer Siamese Models for Health Ontologies Merging and validation through Large Language Models -- Lossless compression of nanopore sequencing raw signals -- Medical Equipment Real Time Locating System in Hospitals based on Bluetooth Low Energy -- Validation of WHO charts mobile applications for body length and weight assessment in healthy newborns -- Predicting Atherosclerotic Plaque Onset and Growth in Carotid Arteries A CFD Driven Approach -- Hemispherical directional reflectance as a screening tool to distinguish effervescent tablets stored under stress conditions from those stored in ambient conditions -- Enhanced ergonomics in laryngoscopic surgery Exploring innovative solutions -- Maximal deadlift strength and bone mass in a group of healthy elderly men -- Multilayer Networks a survey on models analysis of algorithms and database -- Bone mineral density in middle aged former sprinters and middle aged active men -- Biomedical Signal Analysis -- Spectrum Filtering to Extract Pulse Rate Variability from Signals Recorded by Wearable Devices -- Machine Learning Model for Anxiety Disorder Diagnosis based on Sensory Time Series Data -- Analysis of the Relationship between Electrodermal Activity and Blood Glucose Level in Diabetics -- EEG Based Detection of REM Sleep Behaviour Disorder Towards a Stage Agnostic Approach -- Neural network dynamic centers of EEG alpha rhythm for objective assessment of the state of consciousness in psychopathological conditions -- Electrocardiogram and Phonocardiogram signal data fusion using Deep Learning system -- eHealth -- Application of Artificial Intelligence in Healthcare Data Analytics -- Advancements in Artificial Intelligence for Health A Rapid Review of AI based Mental Health Technologies Used in the Age of Large Language Models -- Time series models for predicting the number of patients attending the emergency department in a local hospital. |
| Record Nr. | UNINA-9910882895903321 |
Rojas Ignacio
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| 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 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
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Rojas Ignacio
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| ||
Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2022 / / edited by Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
| Theory and Applications of Time Series Analysis : Selected Contributions from ITISE 2022 / / edited by Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas |
| Autore | Valenzuela Olga |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (236 pages) |
| Disciplina | 519.55 |
| Altri autori (Persone) |
RojasFernando
HerreraLuis Javier PomaresHéctor RojasIgnacio |
| Collana | Contributions to Statistics |
| Soggetto topico |
Time-series analysis
Econometrics Statistics Computer science - Mathematics Mathematical statistics Time Series Analysis Statistics in Business, Management, Economics, Finance, Insurance Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Applied Statistics Probability and Statistics in Computer Science Econometria Estadística matemàtica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-40209-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theoretical Aspects of Time Series -- Econometrics -- Time Series Analysis Applications -- Time Series Forecasting -- Time Series Forecasting. |
| Record Nr. | UNINA-9910760249503321 |
|
Valenzuela Olga
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||