Size matters: how sample size affects the reproducibility and specificity of gene set analysis.

ABSTRACT:

Background

Gene set analysis is a well-established approach for interpretation of data from high-throughput gene expression studies. Achieving reproducible results is an essential requirement in such studies. One factor of a gene expression experiment that can affect reproducibility is the choice of sample size. However, choosing an appropriate sample size can be difficult, especially because the choice may be method-dependent. Further, sample size choice can have unexpected effects on specificity.

Results

In this paper, we report on a systematic, quantitative approach to study the effect of sample size on the reproducibility of the results from 13 gene set analysis methods. We also investigate the impact of sample size on the specificity of these methods. Rather than relyin

SUBMITTER: Maleki F 

PROVIDER: S-EPMC6805317 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature