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A Statistical Method For The Conservative Adjustment Of False Discovery Rate (Q-Value), Yinglei Lai
A Statistical Method For The Conservative Adjustment Of False Discovery Rate (Q-Value), Yinglei Lai
Epidemiology Faculty Publications
Background
q-value is a widely used statistical method for estimating false discovery rate (FDR), which is a conventional significance measure in the analysis of genome-wide expression data. q-value is a random variable and it may underestimate FDR in practice. An underestimated FDR can lead to unexpected false discoveries in the follow-up validation experiments. This issue has not been well addressed in literature, especially in the situation when the permutation procedure is necessary for p-value calculation.
Results
We proposed a statistical method for the conservative adjustment of q-value. In practice, it is usually necessary to calculate p …