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Effect of training-sample size and classification difficulty on the accuracy of genomic predictors

INTRODUCTION: As part of the MicroArray Quality Control (MAQC)-II project, this analysis examines how the choice of univariate feature-selection methods and classification algorithms may influence the performance of genomic predictors under varying degrees of prediction difficulty represented by thr...

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Main Authors: Popovici, Vlad, Chen, Weijie, Gallas, Brandon G, Hatzis, Christos, Shi, Weiwei, Samuelson, Frank W, Nikolsky, Yuri, Tsyganova, Marina, Ishkin, Alex, Nikolskaya, Tatiana, Hess, Kenneth R, Valero, Vicente, Booser, Daniel, Delorenzi, Mauro, Hortobagyi, Gabriel N, Shi, Leming, Symmans, W Fraser, Pusztai, Lajos
Formato: Artigo
Idioma:Inglês
Publicado: BioMed Central 2010
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC2880423/
https://ncbi.nlm.nih.gov/pubmed/20064235
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/bcr2468
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