Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Clara Pizzuti

ISBN 10: 3642011837 / ISBN 13: 9783642011832

Verlag: Berlin Springer Berlin Heidelberg Springer Apr 2009, 2009

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 203 pp. Englisch. Bestandsnummer des Verkäufers 9783642011832

Bibliografische Details

Titel: Evolutionary Computation, Machine Learning ...

Verlag: Berlin Springer Berlin Heidelberg Springer Apr 2009

Erscheinungsdatum: 2009

Einband: Taschenbuch

Zustand: Neu

Über diesen Titel

Reseña del editor:

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.