Power and stability properties of resampling-based multiple testing procedures with applications to gene oncology studies.

ABSTRACT: Resampling-based multiple testing procedures are widely used in genomic studies to identify differentially expressed genes and to conduct genome-wide association studies. However, the power and stability properties of these popular resampling-based multiple testing procedures have not been extensively evaluated. Our study focuses on investigating the power and stability of seven resampling-based multiple testing procedures frequently used in high-throughput data analysis for small sample size data through simulations and gene oncology examples. The bootstrap single-step minP procedure and the bootstrap step-down minP procedure perform the best among all tested procedures, when sample size is as small as 3 in each group and either familywise error rate or false discovery rate control is des

SUBMITTER: Li D 

PROVIDER: S-EPMC3853148 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature