A comparison of methods for multiple degree of freedom testing in repeated measures RNA-sequencing experiments.

ABSTRACT:

Background

As the cost of RNA-sequencing decreases, complex study designs, including paired, longitudinal, and other correlated designs, become increasingly feasible. These studies often include multiple hypotheses and thus multiple degree of freedom tests, or tests that evaluate multiple hypotheses jointly, are often useful for filtering the gene list to a set of interesting features for further exploration while controlling the false discovery rate. Though there are several methods which have been proposed for analyzing correlated RNA-sequencing data, there has been little research evaluating and comparing the performance of multiple degree of freedom tests across methods.

Methods

We evaluated 11 different methods for modelling correlated RNA-sequencing data by performing

SUBMITTER: Wynn EA 

PROVIDER: S-EPMC9148455 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature