ClrDV: a differential variability test for RNA-Seq data based on the skew-normal distribution.

ABSTRACT:

Background

Pathological conditions may result in certain genes having expression variance that differs markedly from that of the control. Finding such genes from gene expression data can provide invaluable candidates for therapeutic intervention. Under the dominant paradigm for modeling RNA-Seq gene counts using the negative binomial model, tests of differential variability are challenging to develop, owing to dependence of the variance on the mean.

Methods

Here, we describe clrDV, a statistical method for detecting genes that show differential variability between two populations. We present the skew-normal distribution for modeling gene-wise null distribution of centered log-ratio transformation of compositional RNA-seq data.

Results

Simulation results show that clrD

SUBMITTER: Li H 

PROVIDER: S-EPMC10544356 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature