Computational Intelligence Methods for Bioinformatics and Biostatistics : 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers / edited by Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri.

Format:

Book

Contributor:

Biganzoli, Elia, Editor.

Vellido, Alfredo, Editor.

Ambrogi, Federico, Editor.

Tagliaferri, Roberto, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in bioinformatics 2366-6331 ; 7548

Lecture Notes in Bioinformatics, 2366-6331 ; 7548

Language:

English

Subjects (All):

Computer science.

Algorithms.

Pattern recognition systems.

Database management.

Artificial intelligence.

Bioinformatics.

Theory of Computation.

Automated Pattern Recognition.

Database Management.

Artificial Intelligence.

Local Subjects:

Theory of Computation.

Algorithms.

Automated Pattern Recognition.

Database Management.

Artificial Intelligence.

Bioinformatics.

Physical Description:

1 online resource (XVI, 270 pages) : 92 illustrations

Edition:

1st ed. 2012.

Contained In:

Springer Nature eBook

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.

System Details:

text file PDF

Summary:

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.

Contents:

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.

Other Format:

Printed edition:

ISBN:

978-3-642-35686-5

9783642356865

Access Restriction:

Restricted for use by site license.