Checking False Discovery Rates on Pvplots
by Bernard Ycart, Frederic Pont and Jean-Jacques Fourni.
Under the null hypothesis, the p-value of a test is uniformly
distributed. This is used for assessing the quality of a test, in
particular its false detection rate. In order to enhance small
p-values, which are of high practical importance, a plot in
logarithmic coordinates, called pvplot, is proposed. The
Goodness-of-Fit of the uniform distribution to a series of p-values is
preferably tested using the Anderson-Darling test. The method is
illustrated by simulated examples. A practical application to Gene
Enrichment Analysis in genomic databases is described.
Bernard Ycart, Bernard.Ycart@imag.fr
Frederic Pon, > Frederic.Pont@inserm.fr
ean-Jacques Fourni, Jean-Jacques.Fournie@inserm.fr
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