Control of the false discovery rate under dependence using the bootstrap and subsampling

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Multiple hypothesis testing in genomics (2014, methodology): “Romano, Shaikh and Wolf [62], building on earlier work by Troendle [63] that had restrictive parametric assumptions, proposed a method that uses the bootstrap instead of permutations to control FDR asymptotically.”
Balanced Control of Generalized Error Rates (2010, unknown): “discovery rate via resampling is considered in Romano et al. (2007) .”
Optimal weighting for false discovery rate control (2008, background): “Therefore, there is a room left for future investigations, which join the very active (but challenging) research ﬁeld studying the impact of p -value dependence on FDR control (see e.g. Kim and van de Wiel (2008); Romano et al. (2008)).”