Computational Intelligence Methods for Bioinformatics and Biostatistics
8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers
Published on 22. November 2012
Book
Paperback/Softback
XVI, 270 pages
978-3-642-35685-8 (ISBN)
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.
More details
Series
Edition
2012 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
92 s/w Abbildungen
XVI, 270 p. 92 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 16 mm
Weight
441 gr
ISBN-13
978-3-642-35685-8 (9783642356858)
DOI
10.1007/978-3-642-35686-5
Schweitzer Classification
Other editions
Additional editions
Elia Biganzoli | Alfredo Vellido | Federico Ambrogi
Computational Intelligence Methods for Bioinformatics and Biostatistics
8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers
E-Book
12/2012
Springer
€48.14
Available for download
Content
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 ß 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.