A comparative study of false discovery rate procedures in R
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Statistical procedures for the identification of differentially
expressed genes in microarray studies involve a serious
multiple comparison problem as we have to carry out as many
hypothesis testings as the number of candidate genes in the
experiment. This paper is concerned with the recent type I
error control concept of the false discovery rate (FDR), for
which an increasing number of competing estimates is available
in R. However, there is little comparative evidence. Based on
the most popular modified t-statistic independent as well as
co-regulated gene expression measurements are compared in a
simulation study. Finally conclusions are drawn for practical
microarray analysis.