Fused inverse-normal method for integrated differential expression analysis of RNA-seq data.

ABSTRACT:

Background

Use of next-generation sequencing technologies to transcriptomics (RNA-seq) for gene expression profiling has found widespread application in studying different biological conditions including cancers. However, RNA-seq experiments are still small sample size experiments due to the cost. Recently, an increased focus has been on meta-analysis methods for integrated differential expression analysis for exploration of potential biomarkers. In this study, we propose a p-value combination method for meta-analysis of multiple independent but related RNA-seq studies that accounts for sample size of a study and direction of expression of genes in individual studies.

Results

The proposed method generalizes the inverse-normal method without an increase in statistical or comp

SUBMITTER: Prasad B 

PROVIDER: S-EPMC9354357 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature