JasonHackney/GSDecon: Deconvolution of cellular proportions in expression data

Gene set-based methods for analyzing cellular composition of mixed samples. We summarize expression values from gene sets into a per-sample score, called an eigengene. Eigengenes can be used as covariates in linear modelling, as surrogate variables for differences in cellularity between samples. Alternatively, the eigegenes can be used as the unit of analysis, potentially reducing the burden of multiple testing. The package includes a set of cell- and tissue-specific gene sets.

install.packages("remotes")
remotes::install_github("JasonHackney/GSDecon")