CDSeq: A novel complete deconvolution method for dissecting heterogeneous samples using gene expression data.

ABSTRACT: Quantifying cell-type proportions and their corresponding gene expression profiles in tissue samples would enhance understanding of the contributions of individual cell types to the physiological states of the tissue. Current approaches that address tissue heterogeneity have drawbacks. Experimental techniques, such as fluorescence-activated cell sorting, and single cell RNA sequencing are expensive. Computational approaches that use expression data from heterogeneous samples are promising, but most of the current methods estimate either cell-type proportions or cell-type-specific expression profiles by requiring the other as input. Although such partial deconvolution methods have been successfully applied to tumor samples, the additional input required may be unavailable. We introduce a no

SUBMITTER: Kang K 

PROVIDER: S-EPMC6907860 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature