Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, Proceedings / edited by Leonardo Vanneschi, William S. Bush, Mario Giacobini.

Format:

Book

Contributor:

Vanneschi, Leonardo, editor.

Bush, William S., editor.

Giacobini, Mario, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 7833.

Theoretical Computer Science and General Issues ; 7833

Language:

English

Subjects (All):

Bioinformatics.

Data mining.

Algorithms.

Computers.

Computational Biology/Bioinformatics.

Data Mining and Knowledge Discovery.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Local Subjects:

Computational Biology/Bioinformatics.

Data Mining and Knowledge Discovery.

Algorithm Analysis and Problem Complexity.

Computation by Abstract Devices.

Physical Description:

1 online resource (XII, 217 pages) : 64 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

Contents:

Multiple Threshold Spatially Uniform ReliefF for the Genetic Analysis of Complex Human Diseases

Time-Point Specific Weighting Improves Coexpression Networks from Time-Course Experiments

Inferring Human Phenotype Networks from Genome-Wide Genetic

Knowledge-Constrained K-Medoids Clustering of Regulatory Rare Alleles for Burden Tests

Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach

Structured Populations and the Maintenance of Sex

Hybrid Multiobjective Artificial Bee Colony with Differential Evolution Applied to Motif Finding

ACO-Based Bayesian Network Ensembles for the Hierarchical Classification of Ageing-Related Proteins

Dimensionality Reduction via Isomap with Lock-Step and Elastic Measures for Time Series Gene Expression Classification

Supervising Random Forest Using Attribute Interaction Networks

Hybrid Genetic Algorithms for Stress Recognition in Optimal Use of Biological Expert Knowledge from Literature

Mining in Ant Colony Optimization for Analysis of Epistasis in Human Disease

A Multiobjective Proposal Based on the Firefly Algorithm for Inferring Phylogenies

Mining for Variability in the Coagulation Pathway: A Systems Biology Approach

Improving the Performance of CGPANN for Breast Cancer Diagnosis Using Crossover and Radial Basis Functions

An Evolutionary Approach to Wetlands Design

Impact of Different Recombination Methods in a Mutation-Specific MOEA for a Biochemical Application

Cell-Based Metrics Improve the Detection of Gene-Gene Interactions Using Multifactor Dimensionality Reduction

Emergence of Motifs in Model Gene Regulatory Networks.

Other Format:

Printed edition:

ISBN:

978-3-642-37189-9

9783642371899

Access Restriction:

Restricted for use by site license.