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Evolutionary computation, machine learning and data mining in bioinformatics [electronic resource] : 9th European conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011 : proceedings /
Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (eds.).
Heidelberg : Springer, [2011]
x, 182 pages : illustrations ; 24 cm.
3642203884 (pbk. : alk. paper), 9783642203886 (pbk. : alk. paper)
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Main Description
The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R & D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available.
Main Description
This book constitutes the refereed proceedings of the 9th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2011, held in Torino, Italy, in April 2011 co-located with the Evo* 2011 events. The 12 revised full papers presented together with 7 poster papers were carefully reviewed and selected from numerous submissions. All papers included topics of interest such as biomarker discovery, cell simulation and modeling, ecological modeling, fluxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, and systems biology.
Table of Contents
Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictionsp. 1
A New Evolutionary Gene Regulatory Network Reverse Engineering Toolp. 13
ML-Consensus: A General Consensus Model for Variable-Length Transcription Factor Binding Sitesp. 25
Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Networkp. 37
ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Modelsp. 48
Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organismp. 59
A Nearest Neighbour-Based Approach for Viral Protein Structure Predictionp. 69
Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteinsp. 77
Finding Motifs in DNA Sequences Applying a Multiobjective Artificial Bee Colony (MOABC) Algorithmp. 89
An Evolutionary Approach for Protein Contact Map Predictionp. 101
Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segmentsp. 111
Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysisp. 123
Experimental Approach for Bacterial Strains Characterizationp. 135
Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage?p. 141
Genetic Algorithm Optimization of Force Field Parameters: Application to a Coarse-Grained Model of RNAp. 147
A Decision Tree-Based Method for Protein Contact Map Predictionp. 153
A Comparison of Machine Learning Methods for the Prediction of Breast Cancerp. 159
An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papersp. 171
Protein Complex Discovery from Protein Interaction Network with High False-Positive Ratep. 177
Author Indexp. 183
Table of Contents provided by Ingram. All Rights Reserved.

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