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Upper bound for the number of false discoveries among most significant items

Usage

curveMaxFP(p.values, thr)

Arguments

p.values

A vector containing s p-values

thr

A vector of K JER-controlling thresholds

Value

A vector of size s giving an joint upper confidence bound on the number of false discoveries among the k most significant items for all k{1s}.

Details

The time and space complexity of this function is O(s), which is optimal since s is the length of the returned vector.

References

Enjalbert-Courrech, N. & Neuvial, P. (2022). Powerful and interpretable control of false discoveries in two-group differential expression studies. Bioinformatics. doi: 10.1093/bioinformatcs/btac693

Author

Gilles Blanchard, Nicolas Enjalbert-Courrech, Pierre Neuvial and Etienne Roquain