Insights from deconvolution of cell subtype proportions enhance the interpretation of functional genomic data.

ABSTRACT: Cell subtype proportion variability between samples contributes significantly to the variation of functional genomic properties such as gene expression or DNA methylation. Although the impact of the variation of cell subtype composition on measured genomic quantities is recognized, and some innovative tools have been developed for the analysis of heterogeneous samples, most functional genomics studies using samples with mixed cell types still ignore the influence of cell subtype proportion variation, or just deal with it as a nuisance variable to be eliminated. Here we demonstrate how harvesting information about cell subtype proportions from functional genomics data can provide insights into cellular changes associated with phenotypes. We focused on two types of mixed cell populations, hu

SUBMITTER: Kong Y 

PROVIDER: S-EPMC6483354 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature