Computational Intelligence Methods for Bioinformatics and Biostatistics

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10th International Meeting, CIBB 2013, Nice, France, June 20-22,2013, Revised Selected Papers, Lecture Notes in Computer Science 8452 – Lecture Notes in Bioinformatics

ISBN: 3319090410
ISBN 13: 9783319090412
Herausgeber: Enrico Formenti/Roberto Tagliaferri/Ernst Wit
Verlag: Springer Verlag GmbH
Umfang: xiii, 275 S., 99 s/w Illustr., 275 p. 99 illus.
Erscheinungsdatum: 28.07.2014
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

Includes supplementary material: sn.pub/extras

Artikelnummer: 6905320 Kategorie:

Beschreibung

InhaltsangabeDynamic Gaussian Graphical Models for Modelling Genomic Networks.- Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes.- BioCloud Search EnGene: Surfing Biological Data on the Cloud.- Genomic Sequence Classification Using Probabilistic Topic Modeling.- Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches.- Weighting Scheme Methods for Enhanced Genomic Annotation Prediction.- French Flag Tracking by Morphogenetic Simulation Under Developmental Constraints.- 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.- Piecewise Exponential Artificial Neural Networks (PEANN) for Modeling Hazard Function with Right Censored Data.- Writing Generation Model for Health Care Neuromuscular System Investigation.- Clusters Identification in Binary Genomic Data: The Alternative Offered by Scan Statistics Approach.- Reverse Engineering Methodology for Bioinformatics Based on Genetic Programming, Differential Expression Analysis and Other Statistical Methods.- Integration of Clinico-Pathological and microRNA Data for Intelligent Breast Cancer Relapse Prediction Systems.- Superresolution MUSIC Based on Marcenko-Pastur Limit Distribution Reduces Uncertainty and Improves DNA Gene Expression-Based Microarray Classification.- Prediction of Single-Nucleotide Polymorphisms Causative of Rare Diseases.- A Framework for Mining Life Sciences Data on the Semantic Web in an Interactive, Graph-Based Environment.- Combining Not-Proper ROC Curves and Hierarchical Clustering to Detect Differentially Expressed Genes in Microarray Experiments.- Fast and Parallel Algorithm for Population-Based Segmentation of Copy-Number Profiles.- Identification of Pathway Signatures in Parkinson's Disease with Gene Ontology and Sparse Regularization. 

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