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Review
. 2006 Mar;7(1):86-112.
doi: 10.1093/bib/bbk007.

Machine learning in bioinformatics

Pedro Larrañaga  1 , Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José A Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez, Victor Robles
Affiliations
Review

Machine learning in bioinformatics

Pedro Larrañaga et al. Brief Bioinform. 2006 Mar.

Abstract

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.

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