Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011, Proceedings

By: Clara Pizzuti (Editor), Marylyn D. Ritchie (Editor), Mario Giacobini (Editor)

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Paperback | 19 April 2011

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196 Pages

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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.

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You Can Find This Book In

Non-Fiction Computing & I.T.Databases Data Mining Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Science Biology, Life Sciences Life Sciences in General Computer Programming & Software Development Algorithms & Data Structures

Graphical & Digital Media Applications 3D Graphics & Modelling Computer Vision Human-Computer Interaction User Interface Design & Usability Mathematical Theory of Computation

Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions	p. 1
A New Evolutionary Gene Regulatory Network Reverse Engineering Tool	p. 13
ML-Consensus: A General Consensus Model for Variable-Length Transcription Factor Binding Sites	p. 25
Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network	p. 37
ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models	p. 48
Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism	p. 59
A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction	p. 69
Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins	p. 77
Finding Motifs in DNA Sequences Applying a Multiobjective Artificial Bee Colony (MOABC) Algorithm	p. 89
An Evolutionary Approach for Protein Contact Map Prediction	p. 101
Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segments	p. 111
Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis	p. 123
Posters
Experimental Approach for Bacterial Strains Characterization	p. 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 RNA	p. 147
A Decision Tree-Based Method for Protein Contact Map Prediction	p. 153
A Comparison of Machine Learning Methods for the Prediction of Breast Cancer	p. 159
An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers	p. 171
Protein Complex Discovery from Protein Interaction Network with High False-Positive Rate	p. 177
Author Index	p. 183
Table of Contents provided by Ingram. All Rights Reserved.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011, Proceedings

At a Glance

Paperback

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