Article
qSVA framework for RNA quality correction in differential expression analysis.
Proceedings of the National Academy of Sciences of the United States of America - 3 Jul 2017
Jaffe Andrew E, Tao Ran, Norris Alexis L, Kealhofer Marc, Nellore Abhinav, Shin Joo Heon, Kim Dewey, Jia Yankai, Hyde Thomas M, Kleinman Joel E, Straub Richard E, Leek Jeffrey T, Weinberger Daniel R
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 using 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 molecular degradation experiments of human primary...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.