PT  - JOURNAL ARTICLE
AU  - Ellis Patrick
AU  - Mariko Taga
AU  - Ayla Ergun
AU  - Bernard Ng
AU  - William Casazza
AU  - Maria Cimpean
AU  - Christina Yung
AU  - Julie A Schneider
AU  - David A Bennett
AU  - Chris Gaiteri
AU  - Philip L De Jager
AU  - Elizabeth M Bradshaw
AU  - Sara Mostafavi
TI  - Deconvolving the contributions of cell-type heterogeneity on cortical gene expression
AID  - 10.1101/566307
DP  - 2019 Jan 01
TA  - bioRxiv
PG  - 566307
4099  - http://biorxiv.org/content/early/2019/03/04/566307.short
4100  - http://biorxiv.org/content/early/2019/03/04/566307.full
AB  - Complexity of cell-type composition has created much skepticism surrounding the interpretation of brain bulk-tissue transcriptomic studies. We generated paired tissue genome-wide gene expression data and immunohistochemistry data, enabling us to assess statistical methods for modeling and estimating cellular heterogeneity in the brain. We demonstrate that several algorithms that rely on single-cell and cell-sorted data to define cell marker gene sets yield accurate relative and absolute estimates of constituent cell-type proportions.