Power in pairs: assessing the statistical value of paired samples in tests for differential expression.

ABSTRACT:

Background

When genomics researchers design a high-throughput study to test for differential expression, some biological systems and research questions provide opportunities to use paired samples from subjects, and researchers can plan for a certain proportion of subjects to have paired samples. We consider the effect of this paired samples proportion on the statistical power of the study, using characteristics of both count (RNA-Seq) and continuous (microarray) expression data from a colorectal cancer study.

Results

We demonstrate that a higher proportion of subjects with paired samples yields higher statistical power, for various total numbers of samples, and for various strengths of subject-level confounding factors. In the design scenarios considered, the statistical pow

SUBMITTER: Stevens JR 

PROVIDER: S-EPMC6302489 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature