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Briefings in Bioinformatics Advance Access originally published online on February 27, 2006
Briefings in Bioinformatics 2006 7(1):86-112; doi:10.1093/bib/bbk007
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© The Author 2006. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Machine learning in bioinformatics

Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José A. Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez and Victor Robles

Corresponding author. Pedro Larrañaga, Intelligent Systems Group, Department of Computer Science and Artificial Intelligence, University of the Basque Country, Paseo Manuel de Lardizabal, 1, 20018 San Sebastian, Spain. Tel: +34943018045; Fax: +34934015590; E-mail: pedro.larranaga{at}ehu.es

This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochastic heuristics for optimization. Applications in genomics, proteomics, systems biology, evolution and text mining are also shown.

Keywords: machine learning, bioinformatics, supervised classification, clustering, probabilistic graphical models, optimisation, heuristic, genomics, proteomics, microarray, system biology, evolution, text mining


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