A self-directed method for cell-type identification and separation of gene expression microarrays.

ABSTRACT: Gene expression analysis is generally performed on heterogeneous tissue samples consisting of multiple cell types. Current methods developed to separate heterogeneous gene expression rely on prior knowledge of the cell-type composition and/or signatures--these are not available in most public datasets. We present a novel method to identify the cell-type composition, signatures and proportions per sample without need for a-priori information. The method was successfully tested on controlled and semi-controlled datasets and performed as accurately as current methods that do require additional information. As such, this method enables the analysis of cell-type specific gene expression using existing large pools of publically available microarray datasets.

SUBMITTER: Zuckerman NS 

PROVIDER: S-EPMC3749952 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature