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The Stream Algorithm: Computationally Efficient Ridge-Regression via Bayesian Model Averaging, and Applications to Pharmacogenomic Prediction of Cancer Cell Line Sensitivity

Computational efficiency is important for learning algorithms operating in the “large p, small n” setting. In computational biology, the analysis of data sets containing tens of thousands of features (“large p”), but only a few hundred samples (“small n”), is nowadays routine, and regularized regres...

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Detalhes bibliográficos
Main Authors: Neto, Elias Chaibub, Jang, In Sock, Friend, Stephen H., Margolin, Adam A.
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3911888/
https://ncbi.nlm.nih.gov/pubmed/24297531
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