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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 8th European Conference, EvoBIO 2010, Istanbul, Turkey, April 7-9, 2010, Proceedings: Lecture Notes in Computer Science, cartea 6023

Editat de Clara Pizzuti, Marylyn D. Ritchie, Mario Giacobini
en Limba Engleză Paperback – 25 mar 2010
This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 17 revised full papers were carefully reviewed and selected from 44 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.
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Specificații

ISBN-13: 9783642122101
ISBN-10: 3642122108
Pagini: 262
Ilustrații: XII, 249 p. 63 illus.
Greutate: 0.4 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

Cuprins

Variable Genetic Operator Search for the Molecular Docking Problem.- Variable Genetic Operator Search for the Molecular Docking Problem.- Role of Centrality in Network-Based Prioritization of Disease Genes.- Parallel Multi-Objective Approaches for Inferring Phylogenies.- An Evolutionary Model Based on Hill-Climbing Search Operators for Protein Structure Prediction.- Finding Gapped Motifs by a Novel Evolutionary Algorithm.- Top-Down Induction of Phylogenetic Trees.- A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships.- Grammatical Evolution of Neural Networks for Discovering Epistasis among Quantitative Trait Loci.- Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions.- Identification of Individualized Feature Combinations for Survival Prediction in Breast Cancer: A Comparison of Machine Learning Techniques.- Correlation–Based Scatter Search for Discovering Biclusters from Gene Expression Data.- A Local Search Appproach for Transmembrane Segment and Signal Peptide Discrimination.- A Replica Exchange Monte Carlo Algorithm for the Optimization of Secondary Structure Packing in Proteins.- Improving Multi-Relief for Detecting Specificity Residues from Multiple Sequence Alignments.- Using Probabilistic Dependencies Improves the Search of Conductance-Based Compartmental Neuron Models.- Posters.- The Informative Extremes: Using Both Nearest and Farthest Individuals Can Improve Relief Algorithms in the Domain of Human Genetics.- Artificial Immune Systems for Epistasis Analysis in Human Genetics.- Metaheuristics for Strain Optimization Using Transcriptional Information Enriched Metabolic Models.- Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study.- Towards Automatic Detecting of Overlapping Genes - Clustered BLAST Analysis of Viral Genomes.- Investigating Populational Evolutionary Algorithms to Add Vertical Meaning in Phylogenetic Trees.

Caracteristici

Fast track conference proceeding
Unique visibility
State of the art research

Descriere

Descriere de la o altă ediție sau format:
This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events. The 17 revised full papers were carefully reviewed and selected from 44 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tübingen, Germany, in April 2009 colocated with the Evo* 2009 events.
The 17 revised full papers were carefully reviewed and selected from 44 submissions. EvoBio is the premiere European event for experts in computer science meeting with experts in bioinformatics and the biological sciences, all interested in the interface between evolutionary computation, machine learning, data mining, bioinformatics, and computational biology. Topics addressed by the papers include biomarker discovery, cell simulation and modeling, ecological modeling, uxomics, gene networks, biotechnology, metabolomics, microarray analysis, phylogenetics, protein interactions, proteomics, sequence analysis and alignment, as well as systems biology.