This package contains methods and utilities for performing gene expression deconvolution, i.e. estimating cell type proportions and/or cell-specific gene expression signatures from global expression data in heterogeneous samples. Its main objectives are to provide:
- a unified base framework for applying and developing deconvolution analysis;
- a user-friendly and intuitive interface;
- a resource of relevant auxiliary data such as benchmark datasets or cell marker gene lists.
install_github('randel/cellmix')
# install/load dependencies, e.g.,
library(digest)
library(matrixStats)