is about is_specified_output_of quantitative confidence value error corrected data set q-value A quantitative confidence value that measures the minimum false discovery rate that is incurred when calling that test significant. To compute q-values, it is necessary to know the p-value produced by a test and possibly set a false discovery rate level. Adapted from several sources, including http://.en/wikipedia.org/wiki/False_discovery_rate http://svitsrv25.epfl.ch/R-doc/library/qvalue.html Addition of restriction 'output of null hypothesis testing' by AGB and PRS while working on STATO PERS:Philippe Rocca-Serra PMID: 20483222. Comp Biochem Physiol Part D Genomics Proteomics. 2008 Sep;3(3):234-42. Analysis of Sus scrofa liver proteome and identification of proteins differentially expressed between genders, and conventional and genetically enhanced lines. "After controlling the false discovery rate (FDR</=0.1) using the Storey q value only four proteins (EPHX1, CAT, PAH, ST13) were shown to be differentially expressed between genders (Males/Females) and two proteins (SELENBP2, TAGLN) were differentially expressed between two lines (Transgenic/Conventional pigs)" q FDR adjusted p-value q-value Benjamini and Hochberg false discovery rate correction method Benjamini and Yekutieli false discovery rate correction method null hypothesis ready for release obi.owl