The effect of tissue composition on gene co-expression.

ABSTRACT: Variable cellular composition of tissue samples represents a significant challenge for the interpretation of genomic profiling studies. Substantial effort has been devoted to modeling and adjusting for compositional differences when estimating differential expression between sample types. However, relatively little attention has been given to the effect of tissue composition on co-expression estimates. In this study, we illustrate the effect of variable cell-type composition on correlation-based network estimation and provide a mathematical decomposition of the tissue-level correlation. We show that a class of deconvolution methods developed to separate tumor and stromal signatures can be applied to two component cell-type mixtures. In simulated and real data, we identify conditions in whi

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC8453244 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature