marcalva/diem: Debris-Containing Droplet Identification using EM

Identification of debris-containing droplets from a droplet-based single cell/nucleus RNA-seq. 'diem' classifies droplets by modeling droplet expression with a multinomial mixture model. Droplets are assigned to debris or cell type clusters after estimating parameters with expectation maximization (EM). Provides quantifications of contamination in individual droplets for filtering and use as a covariate. See Alvarez M, Rahmani E, et al (2019) <doi:10.1101/786285> for details.

install.packages("remotes")
remotes::install_github("marcalva/diem")