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research article
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 three clinically relevant endpoints.
Type
research article
Web of Science ID
WOS:000276986300011
Authors
Popovici, Vlad
•
Chen, Weijie
•
Gallas, Brandon G.
•
Hatzis, Christos
•
Shi, Weiwei
•
Samuelson, Frank W.
•
Nikolsky, Yuri
•
Tsyganova, Marina
•
Ishkin, Alex
•
Nikolskaya, Tatiana
Publication date
2010
Published in
Volume
12
Start page
R5
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
December 16, 2011
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