)). We propose a list of processing and multiple testing techniques to correct for 1) background drift; 2) filtering using … smooth regression and cross-validated bandwidth selection; 3) peak finding; and 4) methods to correct for multiple testing …

We present a reformulation of the Benjamini-Hochberg method that is useful in 'large-scale' multiple testing problems …, subsuming earlier results. A set of gene expression data is used to illustrate the workings of the method in a multiple testing …

number of rejections) in adaptive versions of the Benjamini-Hochberg method of multiple testing. The method works in an …

account the spatial structure of the data. Different multiple testing procedures are considered for controlling the family … structure of the data substantially improves the sensitivity of the multiple testing procedures. Application of the proposed …

-down resampling-based multiple testing procedures that asymptotically control the family-wise error rate (FWER) for general null … multiple testing procedure (asymptotically) controlling the FWER at level alpha can be augmented into: (i) a multiple testing … than k false positives) at level alpha and (ii) a multiple testing procedure (asymptotically) controlling the probability …

propose using multiple testing to find codons which have significant univariate associations with replication capacity of the … consists of 317 patients, each with 282 sequenced protease and reverse transcriptase codons. Initially, the multiple testing … augmentation multiple testing procedures were applied to control the generalized family wise error (gFWER) or the tail probability …

The present article proposes general single-step multiple testing procedures for controlling Type I error rates defined … hypotheses (van der Laan et al., 2003b). The proposed bootstrap multiple testing procedures are evaluated by a simulation study …. The special cases of t- and F-statistics are discussed in detail. The companion articles focus on step-down multiple …