The Gene Expression Deconvolution Interactive Tool (GEDIT): accurate cell type quantification from gene expression data.

ABSTRACT:

Background

The cell type composition of heterogeneous tissue samples can be a critical variable in both clinical and laboratory settings. However, current experimental methods of cell type quantification (e.g., cell flow cytometry) are costly, time consuming and have potential to introduce bias. Computational approaches that use expression data to infer cell type abundance offer an alternative solution. While these methods have gained popularity, most fail to produce accurate predictions for the full range of platforms currently used by researchers or for the wide variety of tissue types often studied.

Results

We present the Gene Expression Deconvolution Interactive Tool (GEDIT), a flexible tool that utilizes gene expression data to accurately predict cell type abundances. U

SUBMITTER: Nadel BB 

PROVIDER: S-EPMC7931818 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature