RT Journal Article
SR Electronic
T1 A method to assess significant differences in RNA expression among specific gene groups
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 136143
DO 10.1101/136143
A1 Mingze He
A1 Peng Liu
A1 Carolyn J. Lawrence-Dill
YR 2017
UL http://biorxiv.org/content/early/2017/05/25/136143.abstract
AB Most expression studies measure transcript abundance across multiple conditions followed by clustering and functional enrichment. This enables discovery of shared function for differentially expressed genes, but is not useful for determining whether pre-defined groups of genes share or diverge in their expression patterns. Here we present a simple data transformation method that allows Gaussian parametric statistical analysis of transcript abundance for groups of genes, thus enabling a biologically relevant hypothesis-driven approach to gene expression analysis.