Machine learning in bioinformatics
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ID: 302927
2006
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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.
| Reference Key |
openalex_W2098740506
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|---|---|
| Authors | Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José A. Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez, Vı́ctor Robles |
| Journal | Briefings in bioinformatics |
| Year | 2006 |
| DOI |
10.1093/bib/bbk007
|
| URL | |
| Keywords | Keywords not found |
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