Computational Intelligence Methods for Bioinformatics and Biostatistics : 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers (Lecture Notes in Bioinformatics) / Biganzoli, Elia (EDT)/ Vellido, Alfredo (EDT)/ Ambrogi, Federico (EDT)

Computational Intelligence Methods for Bioinformatics and Biostatistics : 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers (Lecture Notes in Bioinformatics) （2012）

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Computational Intelligence Methods for Bioinformatics and Biostatistics : 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers (Lecture Notes in Bioinformatics) （2012）

Biganzoli, Elia (EDT)/ Vellido, Alfredo (EDT)/ Ambrogi, Federico (EDT)

ウェブストア価格 ¥15,002（本体¥13,639）
Springer-Verlag Berlin and Heidelberg GmbH & Co. K（2012/11発売）
外貨定価 US$ 72.00
ポイント 136pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 270 p.
言語 ENG
商品コード 9783642356858
DDC分類 570.285

Full Description

This book constitutes the thoroughly refereed post-proceedings of the 8th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2011, held in Gargnano del Garda, Italy, in June/July 2011. The 19 papers, presented together with 2 keynote speeches, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on statistical learning, genomics, computational intelligence for health at the edge, proteomics, intelligent clinical decision support systems (i-CDSS), bioinformatics, and data clustering.

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 ExpressionAnalysis.