Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007. Proceedings / edited by Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse.

Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007. Proceedings /

This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain in April 2007, colocated with the Evo* 2007 events. The 28 revised full papers were carefully reviewed a...

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Bibliographic Details
Main Author: Marchiori, E.
Corporate Author: SpringerLink (Online service)
Other Authors: Moore, Jason H., Rajapakse, Jagath Chandana
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
Series:Lecture notes in computer science ; 4447.
Subjects:
Computer science.
Computer software.
Artificial intelligence.
Optical pattern recognition.
Bioinformatics.
Online Access: Full text (Wentworth users only).
Description
Summary:This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain in April 2007, colocated with the Evo* 2007 events. The 28 revised full papers were carefully reviewed and selected from 60 submissions. Bringing experts in computer science together with experts in bioinformatics and the biological sciences resulted in contributions on fundamental and theoretical issues, along with a wide variety of papers dealing with different applications areas, 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, as well as systems biology
Physical Description:XI, 302 pages Also available online : digital.
ISBN:9783540717836
ISSN:0302-9743 ;
DOI:10.1007/978-3-540-71783-6

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