Back to search

Article

A framework for RNA quality correction in differential expression analysis

2016-09-09

Abstract excerpt

RNA sequencing (RNA-seq) is a powerful approach for measuring gene expression levels in cells and tissues, but it relies on high-quality RNA. We demonstrate here that statistical adjustment employing existing quality measures largely fails to remove the effects of RNA degradation when RNA quality associates with the outcome of interest. Using RNA-seq data from a molecular degradation experiment of human brain tiss...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b3824686-a160-5509-b19f-c71ff040597c
DOI
10.1101/074245
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Select a neighboring publication to make it the new centre.