diegommcc/digitalDLSorteR_dev: Deconvolution of Bulk RNA-Seq Data Based on Deep Learning

Deconvolution of bulk RNA-Seq data using context-specific deconvolution models based on Deep Neural Networks using scRNA-Seq data as input. These models are able to make accurate estimates of the cell composition of bulk RNA-Seq samples from the same context using the advances provided by Deep Learning and the meaningful information provided by scRNA-Seq data. See Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> for more details.

install.packages("remotes")
remotes::install_github("diegommcc/digitalDLSorteR_dev")