scfurl/viewmaster: This package aims annotate scRNAseq data according to a reference

Using a variety of tools, this package seeks to annotate cells from one dataset with cell labels from another experiment. Currently two major methods are included. UMAP projection, which projects cells onto a reference atlas using the umap transform function and annotates the cells according to the nearest neighbor in the reference. The second group of methods use transfer learning algorithms built with the ArrayFire C++ library to annotate cells using an atlas.

install.packages("remotes")
remotes::install_github("scfurl/viewmaster")