Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings
This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The...
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Auteurs principaux : | , , , |
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Collectivité auteur : | |
Format : | Livre |
Langue : | anglais |
Titre complet : | Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 11th European Conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013. Proceedings / edited by Leonardo Vanneschi, William S. Bush, Mario Giacobini. |
Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2013 Cham : Springer Nature |
Collection : | Theoretical computer science and general issues (Online) ; 7833 |
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Documents associés : | Autre format:
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics Autre format: Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics |
Résumé : | This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems. |
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ISBN : | 978-3-642-37189-9 |
DOI : | 10.1007/978-3-642-37189-9 |