Predicting gene function in a hierarchical context with an ensemble of classifiers

BACKGROUND: The wide availability of genome-scale data for several organisms has stimulated interest in computational approaches to gene function prediction. Diverse machine learning methods have been applied to unicellular organisms with some success, but few have been extensively tested on higher...

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Detalles Bibliográficos
Autores principales: Guan, Yuanfang, Myers, Chad L, Hess, David C, Barutcuoglu, Zafer, Caudy, Amy A, Troyanskaya, Olga G
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447537/
https://www.ncbi.nlm.nih.gov/pubmed/18613947
http://dx.doi.org/10.1186/gb-2008-9-s1-s3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447537/
https://www.ncbi.nlm.nih.gov/pubmed/18613947
http://dx.doi.org/10.1186/gb-2008-9-s1-s3

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