Computational Intelligence Methods for Bioinformatics and Biostatistics : 8th International Meeting, Cibb 2011, Gargnano del Garda, Italy, June 30 - Ju
Overview
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.
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Details
- ISBN-13: 9783642356858
- ISBN-10: 3642356850
- Publisher: Springer
- Publish Date: November 2012
- Dimensions: 9.21 x 6.14 x 0.6 inches
- Shipping Weight: 0.9 pounds
- Page Count: 270
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