Comparison of false discovery rate estimates based on different statistical methods. False discovery rates are shown for our proposed method for identification of significant microRNAs (miRNAs) - a log-linear model on cube-rooted data - as well as three competing methods: a log-linear model on raw data, t-statistics on raw data, and t-statistics on cube-rooted data. The log-linear model on cube-rooted data results in extremely low false discovery rates (FDRs). The FDR for a given miRNA score cutoff is the average proportion of miRNAs with scores above that cutoff that are 'false positives'; see Additional File 9 for details on FDR calculation.
Witten et al. BMC Biology 2010 8:58 doi:10.1186/1741-7007-8-58