A pseudo-value regression approach for differential network analysis of co-expression data.

ABSTRACT:

Background

The differential network (DN) analysis identifies changes in measures of association among genes under two or more experimental conditions. In this article, we introduce a pseudo-value regression approach for network analysis (PRANA). This is a novel method of differential network analysis that also adjusts for additional clinical covariates. We start from mutual information criteria, followed by pseudo-value calculations, which are then entered into a robust regression model.

Results

This article assesses the model performances of PRANA in a multivariable setting, followed by a comparison to dnapath and DINGO in both univariable and multivariable settings through variety of simulations. Performance in terms of precision, recall, and F1 score of differentially con

SUBMITTER: Ahn S 

PROVIDER: S-EPMC9830718 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature