Identifying Predictive Features in Drug Response Using Machine Learning: Opportunities and Challenges.

This article reviews several techniques from machine learning that can be used to study the problem of identifying a small number of features, from among tens of thousands of measured features, that can accurately predict a drug response. Prediction problems are divided into two categories: sparse c...

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Detalles Bibliográficos
Publicado en:Annual Review of Pharmacology & Toxicology Vol. 55; pp. 15 - 31
Autor principal: Vidyasagar, Mathukumalli
Formato: equations & formulas review tables/charts Journal Article
Publicado: Annual Reviews Inc. 2015
Acceso en línea:Ver este registro en EBSCOhost