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
Author(s)
Popovici, Vlad
Chen, Weijie
Gallas, Brandon G.
Hatzis, Christos
Shi, Weiwei
Samuelson, Frank W.
Nikolsky, Yuri
Tsyganova, Marina
Ishkin, Alex
Nikolskaya, Tatiana
Date Issued
2010
Published in
Volume
12
Start page
R5
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
Available on Infoscience
December 16, 2011
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