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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.
Laurent Villard, Stephan Brunner, Moahan Murugappan
Joshua Alexander Harrison Klein
Esther Amstad, Ran Zhao, Alexandra Thoma