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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 9th European Conference, EvoBIO 2011, Torino, Italy, April 27-29, 2011. Proceedings

✍ Scribed by Faisal Rezwan, Yi Sun, Neil Davey, Rod Adams, Alistair G. Rust, Mark Robinson (auth.), Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2011
Tongue
English
Leaves
193
Series
Lecture Notes in Computer Science 6623
Edition
1
Category
Library

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✦ Synopsis


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


Front Matter....Pages -
Effect of Using Varying Negative Examples in Transcription Factor Binding Site Predictions....Pages 1-12
A New Evolutionary Gene Regulatory Network Reverse Engineering Tool....Pages 13-24
ML-Consensus: A General Consensus Model for Variable-Length Transcription Factor Binding Sites....Pages 25-36
Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network....Pages 37-47
ATHENA Optimization: The Effect of Initial Parameter Settings across Different Genetic Models....Pages 48-58
Validating a Threshold-Based Boolean Model of Regulatory Networks on a Biological Organism....Pages 59-68
A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction....Pages 69-76
Annotated Stochastic Context Free Grammars for Analysis and Synthesis of Proteins....Pages 77-88
Finding Motifs in DNA Sequences Applying a Multiobjective Artificial Bee Colony (MOABC) Algorithm....Pages 89-100
An Evolutionary Approach for Protein Contact Map Prediction....Pages 101-110
Multi-Neighborhood Search for Discrimination of Signal Peptides and Transmembrane Segments....Pages 111-122
Approximation of Graph Kernel Similarities for Chemical Graphs by Kernel Principal Component Analysis....Pages 123-134
Experimental Approach for Bacterial Strains Characterization....Pages 135-140
Do Diseases Spreading on Bipartite Networks Have Some Evolutionary Advantage?....Pages 141-146
Genetic Algorithm Optimization of Force Field Parameters: Application to a Coarse-Grained Model of RNA....Pages 147-152
A Decision Tree-Based Method for Protein Contact Map Prediction....Pages 153-158
A Comparison of Machine Learning Methods for the Prediction of Breast Cancer....Pages 159-170
An Automatic Identification and Resolution System for Protein-Related Abbreviations in Scientific Papers....Pages 171-176
Protein Complex Discovery from Protein Interaction Network with High False-Positive Rate....Pages 177-182
Back Matter....Pages -

✦ Subjects


Computational Biology/Bioinformatics; Algorithm Analysis and Problem Complexity; Database Management; Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Data Structures


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