Coexpression analysis is among the most-used methods in transcriptome data interpretation. Within a cell, genes that produce proteins that act together are believed to have some commonality of regulation. The Pavlidis lab examined the assumptions that underlie the application of coexpression to bulk samples of tissues containing multiple cell types. This publication documents the effect of cellular composition variability among samples in bulk tissue on the observed variance among the genes and their coexpression, and its downstream effect on network-based functional analyses.
The journal cover image was created by member of the Pavlidis lab, Marjan Farahbod. It is featured in the June 2020 issue of Genome Research
Article abstract https://genome.cshlp.org/content/30/6/849.abstract
Full article: https://genome.cshlp.org/content/30/6/849.abstract