BioinformaticsbioRxivPreprint
AdaFDR: a Fast, Powerful and Covariate-Adaptive Approach to Multiple Hypothesis Testing
Martin Jinye Zhang, Fei Xia, James Zou
AdaFDR improves multiple hypothesis testing by using covariates to increase discovery power while controlling false discovery rate, outperforming BH and IHW in eQTL analysis.