fdrThreshold {BioNet} | R Documentation |
The function calculates the p-value threshold tau for a given false discovery rate. Tau is used for the scoring function.
fdrThreshold(fdr, fb)
fdr |
False discovery rate. |
fb |
Model from the beta-uniform mixture fitting. |
P-value threshold tau.
Marcus Dittrich
S. Pounds, S.W. Morris (2003) Estimating the occurrence of false positives and false negatives in microarray studies by approximating and partitioning the empirical distribution of p-values. Bioinformatics, 19(10): 1236-1242.
data(pvaluesExample) pvals <- pvaluesExample[,1] bum.mle <- fitBumModel(pvals, plot=FALSE) tau <- fdrThreshold(fdr=0.001, fb=bum.mle) tau