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Machine learning in bioinformatics

被引：498
作者：
Larranaga, Pedro
Calvo, Borja
Santana, Roberto
Bielza, Concha
Galdiano, Josu
Inza, Inaki
Lozano, Jose A.
Armananzas, Ruben
Santafe, Guzman
Perez, Aritz
Robles, Victor
机构：
[1] Univ Basque Country, Dept Comp Sci & Artificial Intelligence, Intelligent Syst Grp, San Sebastian 20018, Spain
[2] Madrid Tech Univ, Sch Comp Sci, Madrid, Spain
[3] Harvard Univ, Sch Med, Cambridge, MA 02138 USA
[4] Univ Politecn Madrid, Dept Comp Syst Architecture & Technol, E-28040 Madrid, Spain
来源：
BRIEFINGS IN BIOINFORMATICS | 2006年 / 7卷 / 01期
关键词：
machine learning; bioinformatics; supervised classification; clustering; probabilistic graphical models; optimisation; heuristic; genomics; proteomics; microarray; system biology; evolution; text mining;
D O I：
10.1093/bib/bbk007
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：86 / 112
页数：27
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