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Biblioteca

MARC Lista (tabellare)
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers / / edited by Massimo Bartoletti, Annalisa Barla, Andrea Bracciali, Gunnar W. Klau, Leif Peterson, Alberto Policriti, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers / / edited by Massimo Bartoletti, Annalisa Barla, Andrea Bracciali, Gunnar W. Klau, Leif Peterson, Alberto Policriti, Roberto Tagliaferri
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 213 p. 70 illus., 43 illus. in color.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Mathematical logic
Algorithms
Computers
Computational Biology/Bioinformatics
Artificial Intelligence
Mathematical Logic and Formal Languages
Algorithm Analysis and Problem Complexity
Computing Milieux
ISBN 3-030-14160-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An open-source tool for managing time-evolving variant annotation -- Extracting few representative reconciliations with host-switches -- A quantitative and qualitative characterization of k-mer based alignment-free phylogeny construction -- Cancer mutational signatures identification with sparse dictionary learning -- Icing: Large-scale inference of immunoglobulin clonotypes -- Adenine: a HPC-oriented tool for biological data exploration -- Disease-genes must guide fata dource integration in the gen prioritization process -- Ensembling fescendant term classifiers to improve gene – Abnormal phenotype predictions -- GP-based grammatical inference for classification of amyloidogenic sequences -- Estimation of kinetic reaction constants: Exploiting reboot strategies to improve PSO's performance -- Haplotype and repeat separation in long reads -- Tumor subclonal progression model for cancer hallmark acquisition -- GIMLET: Identifying biological modulators in context-specific gene regulation using local energy statistics -- Structural features of a DPPG liposome layer adsorbed on a rough surface -- Chemical exchanges and actuation in liposome-based synthetic cells: Interaction with biological cells -- A nano communication system for CTC detection in blood vessels -- Experimental evidences suggest high between-vesicle diversity of articial vesicle populations: Results, models and implications -- Towards the synthesis of photo-autotrophic protocells -- Hierarchical block matrix approach for multi-view clustering.
Record Nr. UNINA-9910337572403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers / / edited by Massimo Bartoletti, Annalisa Barla, Andrea Bracciali, Gunnar W. Klau, Leif Peterson, Alberto Policriti, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 14th International Meeting, CIBB 2017, Cagliari, Italy, September 7-9, 2017, Revised Selected Papers / / edited by Massimo Bartoletti, Annalisa Barla, Andrea Bracciali, Gunnar W. Klau, Leif Peterson, Alberto Policriti, Roberto Tagliaferri
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (X, 213 p. 70 illus., 43 illus. in color.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Mathematical logic
Algorithms
Computers
Computational Biology/Bioinformatics
Artificial Intelligence
Mathematical Logic and Formal Languages
Algorithm Analysis and Problem Complexity
Computing Milieux
ISBN 3-030-14160-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An open-source tool for managing time-evolving variant annotation -- Extracting few representative reconciliations with host-switches -- A quantitative and qualitative characterization of k-mer based alignment-free phylogeny construction -- Cancer mutational signatures identification with sparse dictionary learning -- Icing: Large-scale inference of immunoglobulin clonotypes -- Adenine: a HPC-oriented tool for biological data exploration -- Disease-genes must guide fata dource integration in the gen prioritization process -- Ensembling fescendant term classifiers to improve gene – Abnormal phenotype predictions -- GP-based grammatical inference for classification of amyloidogenic sequences -- Estimation of kinetic reaction constants: Exploiting reboot strategies to improve PSO's performance -- Haplotype and repeat separation in long reads -- Tumor subclonal progression model for cancer hallmark acquisition -- GIMLET: Identifying biological modulators in context-specific gene regulation using local energy statistics -- Structural features of a DPPG liposome layer adsorbed on a rough surface -- Chemical exchanges and actuation in liposome-based synthetic cells: Interaction with biological cells -- A nano communication system for CTC detection in blood vessels -- Experimental evidences suggest high between-vesicle diversity of articial vesicle populations: Results, models and implications -- Towards the synthesis of photo-autotrophic protocells -- Hierarchical block matrix approach for multi-view clustering.
Record Nr. UNISA-996466461703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 13th International Meeting, CIBB 2016, Stirling, UK, September 1-3, 2016, Revised Selected Papers / / edited by Andrea Bracciali, Giulio Caravagna, David Gilbert, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 13th International Meeting, CIBB 2016, Stirling, UK, September 1-3, 2016, Revised Selected Papers / / edited by Andrea Bracciali, Giulio Caravagna, David Gilbert, Roberto Tagliaferri
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXII, 249 p. 98 illus.)
Disciplina 006.3
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Data mining
Computers
Mathematical statistics
Algorithms
Computational Biology/Bioinformatics
Artificial Intelligence
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Probability and Statistics in Computer Science
Algorithm Analysis and Problem Complexity
ISBN 3-319-67834-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484491503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 13th International Meeting, CIBB 2016, Stirling, UK, September 1-3, 2016, Revised Selected Papers / / edited by Andrea Bracciali, Giulio Caravagna, David Gilbert, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 13th International Meeting, CIBB 2016, Stirling, UK, September 1-3, 2016, Revised Selected Papers / / edited by Andrea Bracciali, Giulio Caravagna, David Gilbert, Roberto Tagliaferri
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXII, 249 p. 98 illus.)
Disciplina 006.3
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Artificial intelligence
Data mining
Computers
Mathematical statistics
Algorithms
Computational Biology/Bioinformatics
Artificial Intelligence
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Probability and Statistics in Computer Science
Algorithm Analysis and Problem Complexity
ISBN 3-319-67834-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996465388503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers / / edited by Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers / / edited by Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XIII, 314 p. 90 illus. in color.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Pattern recognition
Data mining
Computers
Optical data processing
Algorithms
Computational Biology/Bioinformatics
Pattern Recognition
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
ISBN 3-319-24462-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations -- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation -- Statistical analysis of protein structural features: relationships and PCA grouping -- Consensus Clustering in Gene Expression -- Automated Detection of Fluorescent Probes in Molecular Imaging -- Applications of network-based survival analysis methods for pathways detection in cancer -- A New Feature Selection methodology for K-mers representation of DNA sequences -- The General Regression Neural Network to Classify Barcode and mini-barcode DNA -- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data -- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks.
Record Nr. UNINA-9910484405703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers / / edited by Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 11th International Meeting, CIBB 2014, Cambridge, UK, June 26-28, 2014, Revised Selected Papers / / edited by Clelia DI Serio, Pietro Liò, Alessandro Nonis, Roberto Tagliaferri
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (XIII, 314 p. 90 illus. in color.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Pattern recognition
Data mining
Computers
Optical data processing
Algorithms
Computational Biology/Bioinformatics
Pattern Recognition
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
ISBN 3-319-24462-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto GO-WAR: A Tool for Mining Weighted Association Rules from Gene Ontology Annotations -- Extended Spearman and Kendall Coefficients for Gene Annotation List Correlation -- Statistical analysis of protein structural features: relationships and PCA grouping -- Consensus Clustering in Gene Expression -- Automated Detection of Fluorescent Probes in Molecular Imaging -- Applications of network-based survival analysis methods for pathways detection in cancer -- A New Feature Selection methodology for K-mers representation of DNA sequences -- The General Regression Neural Network to Classify Barcode and mini-barcode DNA -- Computational pipeline to annotate transcripts and assembled reads from RNA-Seq data -- Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks.
Record Nr. UNISA-996466322003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers / / edited by Enrico Formenti, Roberto Tagliaferri, Ernst Wit
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers / / edited by Enrico Formenti, Roberto Tagliaferri, Ernst Wit
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XIII, 275 p. 99 illus.)
Disciplina 006.3
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Pattern recognition
Data mining
Computers
Optical data processing
Algorithms
Computational Biology/Bioinformatics
Pattern Recognition
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
ISBN 3-319-09042-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Keynote Speaker -- Dynamic Gaussian Graphical Models for Modelling Genomic Networks -- 1 Introduction -- 2 Graphical Models -- 3 Dynamic Gaussian Graphical Model for Networks -- 3.1 Sparsity Restrictions of the Precision Matrix -- 3.2 Model Restrictions of the Precision Matrix -- 3.3 Maximum Likelihood -- 4 Max Determinant Optimization Problem -- 5 Application to T-Cell Data -- 6 Conclusions -- References -- Bioinformatics Regular Session -- Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes -- 1 Introduction -- 1.1 Background -- 1.2 Related Work -- 1.3 Key Contributions -- 2 Materials and Methods -- 2.1 Compound Database -- 2.2 Compound Characterization -- 2.3 Decoy Generation and Formation of Training and Test Sets -- 2.4 Conventional Scoring Functions -- 2.5 Machine Learning Methods -- 3 Results and Discussion -- 3.1 Evaluation of Scoring Functions -- 3.2 ML vs. Conventional Approaches on a Diverse Test Set -- 3.3 ML vs. Conventional Approaches on Homogeneous Test Sets -- 3.4 Impact of Training Set Size -- 4 Conclusion -- References -- BioCloud Search EnGene: Surfing Biological Data on the Cloud -- Abstract -- 1 Introduction -- 2 Background and Motivations -- 3 Architectural Aspects -- 3.1 Query Contextualization -- 3.2 Technical Details -- 4 BSE Functionalities -- 5 Conclusions -- Acknowledgments -- References -- Genomic Sequence Classification Using Probabilistic Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Probabilistic Topic Models -- 3.2 Document Model and DNA Sequences -- 4 Experimental Tests -- 4.1 Bacteria Dataset -- 4.2 Training and Testing Pipelines -- 4.3 Classification Pipeline -- 4.4 Results and Discussion -- 5 Conclusion and Future Work -- References.
Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches -- 1 Introduction -- 2 Communities Discovering in Networks Using Graph Analysis -- 3 Communities Discovering in Networks Using Clustering Approaches -- 4 The FSM Community Detection Method -- 5 Saccharomyces cerevisiae PPIs Discovery -- 5.1 Dataset -- 5.2 Experimental Results and Discussion -- 6 Conclusions -- References -- Weighting Scheme Methods for Enhanced Genomic Annotation Prediction -- 1 Introduction -- 2 Annotation Data Considered -- 2.1 Genomic and Proteomic Data Warehouse -- 2.2 Annotation Unfolding -- 3 Computational Methods -- 3.1 Weighting Schemes for Annotation Matrices -- 3.2 Latent Semantic Indexing by Singular Value Decomposition -- 3.3 Semantic IMprovement (SIM) -- 3.4 Anomaly Correction -- 3.5 Computational Complexity -- 4 Validation of Annotation Predictions -- 5 Validation Results -- 6 Conclusions -- References -- French Flag Tracking by Morphogenetic Simulation Under Developmental Constraints -- 1 Introduction -- 1.1 Morphogenesis: Emerging of Interests -- 1.2 Below Genetic Expression -- 2 Morphological Dynamic of Cells -- 2.1 Mathematical Model -- 2.2 Shapes Emergence -- 3 Simulation Tool -- 3.1 Architecture -- 3.2 Features -- 4 Algorithms -- 4.1 Software Architecture -- 4.2 Genomes Base Construct -- 4.3 Initialization -- 4.4 Description of the Algorithm -- 5 Evaluation -- 5.1 Test Conditions -- 5.2 Output Results -- 6 Conclusion -- 6.1 Relevance to Biological Issues -- 6.2 Future Works -- References -- Biostatistics Regular Session -- High--Dimensional Sparse Matched Case--Control and Case--Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies -- 1 Introduction -- 2 Conditional Logistic Regression -- 2.1 The Model -- 2.2 Conditional Likelihood.
2.3 L1 Penalized Conditional Likelihood -- 3 Complexity Tuning -- 4 Uncertainty Measures -- 5 Standardization, Bias Correction, Unpenalized Predictors -- 6 Capabilities of clogitLasso -- 6.1 Example 1 -- 6.2 Example 2 -- 7 Conclusion -- References -- Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data -- 1 Introduction -- 2 Methods -- 3 Breast Cancer Survival Study -- 4 Conclusions -- References -- Writing Generation Model for Health Care Neuromuscular System Investigation -- Abstract -- 1 Introduction -- 2 Neuromuscular System Function Transfer minus the Delta-Log Model -- 3 Neuromuscular System Function Transfer -- the Sigma-Log Model -- 4 Experimental Setup for Writing Generation Model -- 5 Conclusion -- Acknowledgment -- References -- Clusters Identification in Binary Genomic Data: The Alternative Offered by Scan Statistics Approach -- 1 Introduction -- 2 Methods -- 2.1 DBSCAN -- 2.2 Kulldorff Spatial Scan Statistics for Bernoulli Model -- 2.3 Experimental Data -- 3 Results -- 4 Conclusions -- References -- Special Session: Knowledge Based Medicine -- Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods -- Abstract -- 1 Introduction -- 2 Enhanced GP RODES Methodology -- 2.1 Data Fitting with Smoothing Spline and Time Derivative Computing -- 2.2 Temporal Differentially Expressed Genes -- 3 Results -- 3.1 Data Fitting and Time Derivative Computing -- 3.2 Results of Time Course Study -- 3.3 Structure and Parameters Discovery from the GSE35074 miRNA Time Series Data with GP RODES -- 4 Conclusions -- Acknowledgments -- References -- Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems -- 1 Introduction -- 2 Methods -- 2.1 Data Set.
2.2 Experimental Framework -- 3 Results -- 3.1 Patient Differentiation Based on ER Status -- 3.2 Exclusion of HS Sequences -- 4 Biological Significance -- 5 Conclusions -- References -- Superresolution MUSIC Based on Marčenko-Pastur Limit Distribution Reduces Uncertainty and Improves DNA Gene Expression-Based Microarray Classification -- 1 Introduction -- 2 Methods -- 2.1 Datasets Used -- 2.2 Gene Selection and Usage -- 2.3 Bootstrap Root MUSIC Classifier -- 2.4 Classification Runs Using Bootstrap Root MUSIC (BRM) -- 3 Results -- 4 Discussion -- References -- Special Session: Data Integration and Analysis in Omic-Science -- Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases -- 1 Introduction -- 2 Materials -- 2.1 Formats and Tools for Managing NGS Data -- 2.2 Pooling -- 3 Methods -- 3.1 Decision Rules -- 3.2 Features -- 3.3 Generalized Eigenvalue Classification -- 4 Results and Discussion -- 4.1 Benchmark Dataset -- 4.2 Other Tools Results -- 4.3 Decision Rules Results -- 4.4 Standard Classifiers Performance -- 4.5 Prediction -- 4.6 SIFT -- 5 Concluding Remarks -- References -- A Framework for Mining Life Sciences Data on the Semantic Web in an Interactive, Graph-Based Environment -- 1 Introduction -- 2 Material and Methods -- 2.1 Semantic Reconciliation of Ondex and RDF Data Models -- 2.2 SPARQL Query Console -- 2.3 Interactive Browsing -- 2.4 SPARQL Commands Configuration File -- 3 Results and Discussion -- 3.1 Example Use Case Identifying Interacting Proteins with IPR002048 and IPR003527 Domains -- 3.2 Discussion -- 4 Conclusion -- References -- Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments -- 1 Introduction -- 2 ROC Curve and the TNRC Statistics -- 2.1 Properties of TNRC -- 2.2 Interpreting TNRC Using Information from Hierarchical Clustering.
3 Results -- 4 Conclusions -- References -- Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles -- 1 Introduction -- 2 Linearization of Dynamic Programming for Segmentation and Segmentation/Clustering -- 2.1 Original Dynamic Programming Algorithm for Segmentation -- 2.2 A Linear Dynamic Programming Algorithm for the Classification Cost Function -- 2.3 A Bound on the Quality of the Approximation -- 3 Joint Segmentation and Parallelization of the Algorithm -- 4 Correctness, Computational Footprint and Scalability -- References -- Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization -- 1 Introduction -- 2 Materials and Methods -- 2.1 Feature Selection Framework -- 2.2 The KDVS Pipeline -- 2.3 The Standard Pipeline -- 2.4 Benchmark Lists -- 2.5 Precision, Recall and F-measure -- 3 Results and Discussion -- 3.1 The KDVS Pipeline -- 3.2 Comparison Between Lists: KDVS and Benchmark -- 3.3 The Standard Pipeline -- 3.4 Data Analysis -- 3.5 Functional Analysis -- 3.6 Comparison Between the Lists: Standard and Benchmark -- 3.7 Comparison of KDVS and Standard Pipelines -- 4 Conclusions -- References -- Author Index.
Record Nr. UNINA-9910483429003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers / / edited by Enrico Formenti, Roberto Tagliaferri, Ernst Wit
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers / / edited by Enrico Formenti, Roberto Tagliaferri, Ernst Wit
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (XIII, 275 p. 99 illus.)
Disciplina 006.3
Collana Lecture Notes in Bioinformatics
Soggetto topico Bioinformatics
Pattern recognition
Data mining
Computers
Optical data processing
Algorithms
Computational Biology/Bioinformatics
Pattern Recognition
Data Mining and Knowledge Discovery
Computation by Abstract Devices
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
ISBN 3-319-09042-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Keynote Speaker -- Dynamic Gaussian Graphical Models for Modelling Genomic Networks -- 1 Introduction -- 2 Graphical Models -- 3 Dynamic Gaussian Graphical Model for Networks -- 3.1 Sparsity Restrictions of the Precision Matrix -- 3.2 Model Restrictions of the Precision Matrix -- 3.3 Maximum Likelihood -- 4 Max Determinant Optimization Problem -- 5 Application to T-Cell Data -- 6 Conclusions -- References -- Bioinformatics Regular Session -- Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes -- 1 Introduction -- 1.1 Background -- 1.2 Related Work -- 1.3 Key Contributions -- 2 Materials and Methods -- 2.1 Compound Database -- 2.2 Compound Characterization -- 2.3 Decoy Generation and Formation of Training and Test Sets -- 2.4 Conventional Scoring Functions -- 2.5 Machine Learning Methods -- 3 Results and Discussion -- 3.1 Evaluation of Scoring Functions -- 3.2 ML vs. Conventional Approaches on a Diverse Test Set -- 3.3 ML vs. Conventional Approaches on Homogeneous Test Sets -- 3.4 Impact of Training Set Size -- 4 Conclusion -- References -- BioCloud Search EnGene: Surfing Biological Data on the Cloud -- Abstract -- 1 Introduction -- 2 Background and Motivations -- 3 Architectural Aspects -- 3.1 Query Contextualization -- 3.2 Technical Details -- 4 BSE Functionalities -- 5 Conclusions -- Acknowledgments -- References -- Genomic Sequence Classification Using Probabilistic Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Probabilistic Topic Models -- 3.2 Document Model and DNA Sequences -- 4 Experimental Tests -- 4.1 Bacteria Dataset -- 4.2 Training and Testing Pipelines -- 4.3 Classification Pipeline -- 4.4 Results and Discussion -- 5 Conclusion and Future Work -- References.
Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches -- 1 Introduction -- 2 Communities Discovering in Networks Using Graph Analysis -- 3 Communities Discovering in Networks Using Clustering Approaches -- 4 The FSM Community Detection Method -- 5 Saccharomyces cerevisiae PPIs Discovery -- 5.1 Dataset -- 5.2 Experimental Results and Discussion -- 6 Conclusions -- References -- Weighting Scheme Methods for Enhanced Genomic Annotation Prediction -- 1 Introduction -- 2 Annotation Data Considered -- 2.1 Genomic and Proteomic Data Warehouse -- 2.2 Annotation Unfolding -- 3 Computational Methods -- 3.1 Weighting Schemes for Annotation Matrices -- 3.2 Latent Semantic Indexing by Singular Value Decomposition -- 3.3 Semantic IMprovement (SIM) -- 3.4 Anomaly Correction -- 3.5 Computational Complexity -- 4 Validation of Annotation Predictions -- 5 Validation Results -- 6 Conclusions -- References -- French Flag Tracking by Morphogenetic Simulation Under Developmental Constraints -- 1 Introduction -- 1.1 Morphogenesis: Emerging of Interests -- 1.2 Below Genetic Expression -- 2 Morphological Dynamic of Cells -- 2.1 Mathematical Model -- 2.2 Shapes Emergence -- 3 Simulation Tool -- 3.1 Architecture -- 3.2 Features -- 4 Algorithms -- 4.1 Software Architecture -- 4.2 Genomes Base Construct -- 4.3 Initialization -- 4.4 Description of the Algorithm -- 5 Evaluation -- 5.1 Test Conditions -- 5.2 Output Results -- 6 Conclusion -- 6.1 Relevance to Biological Issues -- 6.2 Future Works -- References -- Biostatistics Regular Session -- High--Dimensional Sparse Matched Case--Control and Case--Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies -- 1 Introduction -- 2 Conditional Logistic Regression -- 2.1 The Model -- 2.2 Conditional Likelihood.
2.3 L1 Penalized Conditional Likelihood -- 3 Complexity Tuning -- 4 Uncertainty Measures -- 5 Standardization, Bias Correction, Unpenalized Predictors -- 6 Capabilities of clogitLasso -- 6.1 Example 1 -- 6.2 Example 2 -- 7 Conclusion -- References -- Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data -- 1 Introduction -- 2 Methods -- 3 Breast Cancer Survival Study -- 4 Conclusions -- References -- Writing Generation Model for Health Care Neuromuscular System Investigation -- Abstract -- 1 Introduction -- 2 Neuromuscular System Function Transfer minus the Delta-Log Model -- 3 Neuromuscular System Function Transfer -- the Sigma-Log Model -- 4 Experimental Setup for Writing Generation Model -- 5 Conclusion -- Acknowledgment -- References -- Clusters Identification in Binary Genomic Data: The Alternative Offered by Scan Statistics Approach -- 1 Introduction -- 2 Methods -- 2.1 DBSCAN -- 2.2 Kulldorff Spatial Scan Statistics for Bernoulli Model -- 2.3 Experimental Data -- 3 Results -- 4 Conclusions -- References -- Special Session: Knowledge Based Medicine -- Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods -- Abstract -- 1 Introduction -- 2 Enhanced GP RODES Methodology -- 2.1 Data Fitting with Smoothing Spline and Time Derivative Computing -- 2.2 Temporal Differentially Expressed Genes -- 3 Results -- 3.1 Data Fitting and Time Derivative Computing -- 3.2 Results of Time Course Study -- 3.3 Structure and Parameters Discovery from the GSE35074 miRNA Time Series Data with GP RODES -- 4 Conclusions -- Acknowledgments -- References -- Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems -- 1 Introduction -- 2 Methods -- 2.1 Data Set.
2.2 Experimental Framework -- 3 Results -- 3.1 Patient Differentiation Based on ER Status -- 3.2 Exclusion of HS Sequences -- 4 Biological Significance -- 5 Conclusions -- References -- Superresolution MUSIC Based on Marčenko-Pastur Limit Distribution Reduces Uncertainty and Improves DNA Gene Expression-Based Microarray Classification -- 1 Introduction -- 2 Methods -- 2.1 Datasets Used -- 2.2 Gene Selection and Usage -- 2.3 Bootstrap Root MUSIC Classifier -- 2.4 Classification Runs Using Bootstrap Root MUSIC (BRM) -- 3 Results -- 4 Discussion -- References -- Special Session: Data Integration and Analysis in Omic-Science -- Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases -- 1 Introduction -- 2 Materials -- 2.1 Formats and Tools for Managing NGS Data -- 2.2 Pooling -- 3 Methods -- 3.1 Decision Rules -- 3.2 Features -- 3.3 Generalized Eigenvalue Classification -- 4 Results and Discussion -- 4.1 Benchmark Dataset -- 4.2 Other Tools Results -- 4.3 Decision Rules Results -- 4.4 Standard Classifiers Performance -- 4.5 Prediction -- 4.6 SIFT -- 5 Concluding Remarks -- References -- A Framework for Mining Life Sciences Data on the Semantic Web in an Interactive, Graph-Based Environment -- 1 Introduction -- 2 Material and Methods -- 2.1 Semantic Reconciliation of Ondex and RDF Data Models -- 2.2 SPARQL Query Console -- 2.3 Interactive Browsing -- 2.4 SPARQL Commands Configuration File -- 3 Results and Discussion -- 3.1 Example Use Case Identifying Interacting Proteins with IPR002048 and IPR003527 Domains -- 3.2 Discussion -- 4 Conclusion -- References -- Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments -- 1 Introduction -- 2 ROC Curve and the TNRC Statistics -- 2.1 Properties of TNRC -- 2.2 Interpreting TNRC Using Information from Hierarchical Clustering.
3 Results -- 4 Conclusions -- References -- Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles -- 1 Introduction -- 2 Linearization of Dynamic Programming for Segmentation and Segmentation/Clustering -- 2.1 Original Dynamic Programming Algorithm for Segmentation -- 2.2 A Linear Dynamic Programming Algorithm for the Classification Cost Function -- 2.3 A Bound on the Quality of the Approximation -- 3 Joint Segmentation and Parallelization of the Algorithm -- 4 Correctness, Computational Footprint and Scalability -- References -- Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization -- 1 Introduction -- 2 Materials and Methods -- 2.1 Feature Selection Framework -- 2.2 The KDVS Pipeline -- 2.3 The Standard Pipeline -- 2.4 Benchmark Lists -- 2.5 Precision, Recall and F-measure -- 3 Results and Discussion -- 3.1 The KDVS Pipeline -- 3.2 Comparison Between Lists: KDVS and Benchmark -- 3.3 The Standard Pipeline -- 3.4 Data Analysis -- 3.5 Functional Analysis -- 3.6 Comparison Between the Lists: Standard and Benchmark -- 3.7 Comparison of KDVS and Standard Pipelines -- 4 Conclusions -- References -- Author Index.
Record Nr. UNISA-996213835303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers / / edited by Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers / / edited by Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XVI, 270 p. 92 illus.)
Disciplina 570.285
Collana Lecture Notes in Bioinformatics
Soggetto topico Computers
Algorithms
Pattern recognition
Database management
Artificial intelligence
Bioinformatics
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Pattern Recognition
Database Management
Artificial Intelligence
ISBN 3-642-35686-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Modelling the Effect of Genes on the Dynamics of Probabilistic Spiking Neural Networks for Computational Neurogenetic -- Biostatistics Meets Bioinformatics in Integrating Information from Highdimensional Heterogeneous Genomic Data: Two Examples from Rare Genetic Diseases and Infectious Diseases -- Bayesian Models for the Multi-sample Time-Course Microarray Experiments -- A Machine Learning Pipeline for Discriminant Pathways Identification -- Discovering Hidden Pathways in Bioinformatics -- Reliability of miRNA Microarray Platforms: An Approach Based on Random Effects Linear Models -- A Bioinformatics Procedure to Identify and Annotate Somatic Mutations in Whole-Exome Sequencing Data -- Feature Selection for the Prediction and Visualization of Brain Tumor Types Using Proton Magnetic Resonance Spectroscopy Data -- On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins -- Integration of Biomolecular Interaction Data in a Genomic and Proteomic Data Warehouse to Support Biomedical Knowledge Discovery -- Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins -- Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree -- DEEN: A Simple and Fast Algorithm for Network Community Detection -- Self-similarity in Physiological Time Series: New Perspectives from the Temporal Spectrum of Scale Exponents -- Support Vector Machines for Survival Regression -- Boosted C5 Trees i-Biomarkers Panel for Invasive Bladder Cancer Progression Prediction -- A Faster Algorithm for Motif Finding in Sequences from ChIP-Seq Data -- Case/Control Prediction from Illumina Methylation Microarray’s β and Two-Color Channels in the Presence of Batch Effects -- Supporting the Design, Communication and Management of Bioinformatic Protocols through the Leaf Tool -- Genomic Annotation Prediction Based on Integrated Information -- Solving Biclustering with a GRASP-Like Metaheuristic: Two Case-Studies on Gene Expression Analysis.
Record Nr. UNISA-996465929303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 6th International Meeting, CIBB 2009, Genoa, Italy, October 15-17, 2009, Revised Selected Papers / / edited by Francesco Masulli, Leif Peterson, Roberto Tagliaferri
Computational Intelligence Methods for Bioinformatics and Biostatistics [[electronic resource] ] : 6th International Meeting, CIBB 2009, Genoa, Italy, October 15-17, 2009, Revised Selected Papers / / edited by Francesco Masulli, Leif Peterson, Roberto Tagliaferri
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XIII, 320 p. 94 illus.)
Disciplina 570
Collana Lecture Notes in Bioinformatics
Soggetto topico Life sciences
Computers
Algorithms
Pattern recognition
Database management
Artificial intelligence
Life Sciences, general
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Pattern Recognition
Database Management
Artificial Intelligence
ISBN 3-642-14571-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Tools for Bioinformatics -- The ImmunoGrid Simulator: How to Use It -- Improving Coiled-Coil Prediction with Evolutionary Information -- Intelligent Text Processing Techniques for Textual-Profile Gene Characterization -- SILACAnalyzer - A Tool for Differential Quantitation of Stable Isotope Derived Data -- Gene Expression Analysis -- Non-parametric MANOVA Methods for Detecting Differentially Expressed Genes in Real-Time RT-PCR Experiments -- In Silico Screening for Pathogenesis Related-2 Gene Candidates in Vigna Unguiculata Transcriptome -- Penalized Principal Component Analysis of Microarray Data -- An Information Theoretic Approach to Reverse Engineering of Regulatory Gene Networks from Time–Course Data -- New Perspectives in Bioinformatics -- On the Use of Temporal Formal Logic to Model Gene Regulatory Networks -- Predicting Protein-Protein Interactions with K-Nearest Neighbors Classification Algorithm -- Simulations of the EGFR - KRAS - MAPK Signalling Network in Colon Cancer. Virtual Mutations and Virtual Treatments with Inhibitors Have More Important Effects Than a 10 Times Range of Normal Parameters and Rates Fluctuations -- Special Session on “Using Game-Theoretical Tools in Bioinformatics” -- Basics of Game Theory for Bioinformatics -- Microarray Data Analysis via Weighted Indices and Weighted Majority Games -- Special Session on “Combining Bayesian and Machine Learning Approaches in Bioinformatics: State of Art and Future Perspectives” -- Combining Replicates and Nearby Species Data: A Bayesian Approach -- Multiple Sequence Alignment with Genetic Algorithms -- Special Session on “Data Clustering and Bioinformatics” (DCB 2009) -- Multiple Clustering Solutions Analysis through Least-Squares Consensus Algorithms -- Projection Based Clustering of Gene Expression Data -- Searching a Multivariate Partition Space Using MAX-SAT -- A Novel Approach for Biclustering Gene Expression Data Using Modular Singular Value Decomposition -- Special Session on “Intelligent Systems for Medical Decisions Support” (ISMDS 2009) -- Using Computational Intelligence to Develop Intelligent Clinical Decision Support Systems -- Different Methodologies for Patient Stratification Using Survival Data -- 3-D Mouse Brain Model Reconstruction from a Sequence of 2-D Slices in Application to Allen Brain Atlas -- A Proposed Knowledge Based Approach for Solving Proteomics Issues.
Record Nr. UNISA-996466426103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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