In statistical hypothesis testing, specifically multiple hypothesis testing, the q-value in the Storey procedure provides a means to estimate the positive false discovery rate (pFDR). Just as the p-value gives the expected false positive rate obtained by rejecting the null hypothesis for any result with an equal or smaller p-value, the q-value gives the expected pFDR obtained by rejecting the null hypothesis for any result with an equal or smaller q-value.
In statistical hypothesis testing, specifically multiple hypothesis testing, the q-value in the Storey procedure provides a means to estimate the positive false discovery rate (pFDR). Just as the p-value gives the expected false positive rate obtained by rejecting the null hypothesis for any result with an equal or smaller p-value, the q-value gives the expected pFDR obtained by rejecting the null hypothesis for any result with an equal or smaller q-value.
Source: Wikipedia "Q-value (statistics)" · CC BY-SA 4.0
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