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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Detalles Bibliográficos
Autores principales: 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: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880423/
https://www.ncbi.nlm.nih.gov/pubmed/20064235
http://dx.doi.org/10.1186/bcr2468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2880423/
https://www.ncbi.nlm.nih.gov/pubmed/20064235
http://dx.doi.org/10.1186/bcr2468

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