Comments on the analysis of unbalanced microarray data

AUTOR(ES)

Kerr, Kathleen F.

FONTE

Oxford University Press

RESUMO

Motivation: Permutation testing is very popular for analyzing microarray data to identify differentially expressed (DE) genes; estimating false discovery rates (FDRs) is a very popular way to address the inherent multiple testing problem. However, combining these approaches may be problematic when sample sizes are unequal.

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