Computational Intelligence Methods for Bioinformatics and Biostatistics 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers - nouveau livre

Livre dans la base de données depuis 2014-07-29T21:31:03+02:00 (Paris)
Page de détail modifiée en dernier sur 2023-07-02T19:38:51+02:00 (Paris)
ISBN/EAN: 9783319090412

ISBN - Autres types d'écriture:
3-319-09041-0, 978-3-319-09041-2
Autres types d'écriture et termes associés:
Auteur du livre: robert ernst, tag, wit, taglia, tagliaferri roberto
Titre du livre: bios, zero international, nice, papers, formenti, enrico, intelligence

Données de l'éditeur

Auteur: Enrico Formenti; Roberto Tagliaferri; Ernst Wit
Titre: Lecture Notes in Computer Science; Lecture Notes in Bioinformatics; Computational Intelligence Methods for Bioinformatics and Biostatistics - 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised Selected Papers
Editeur: Springer; Springer International Publishing
275 Pages
Date de parution: 2014-07-28
Cham; CH
Imprimé / Fabriqué en
Langue: Anglais
51,36 € (DE)
52,80 € (AT)
57,00 CHF (CH)
POD
XIII, 275 p. 99 illus.

BC; Hardcover, Softcover / Biologie/Sonstiges; DV-gestützte Biologie/Bioinformatik; Verstehen; bioinformatics; dynamic programming; evolutionary computational methods; feature selection; fuzzy logic; machine learning; modularity; multi-agent systems; neural networks; parallel computing; regularization; topic modeling; algorithm analysis and problem complexity; Computational and Systems Biology; Automated Pattern Recognition; Data Mining and Knowledge Discovery; Theory of Computation; Computer Vision; Algorithms; Mustererkennung; Data Mining; Wissensbasierte Systeme, Expertensysteme; Theoretische Informatik; Maschinelles Sehen, Bildverstehen; Algorithmen und Datenstrukturen; EA

Dynamic 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.