diem: Debris-Containing Droplet Identification using EM

Identification of debris-containing droplets from a droplet-based single cell/nucleus RNA-seq. 'diem' uses the expression profile of background RNA droplets, followed by expectation maximization (EM), to assign candidates as debris or nuclei. See Alvarez M, Rahmani E, et al (2019) <doi:10.1101/786285> for details.

Version: 1.0
Depends: R (≥ 3.5.0), methods
Imports: ggplot2, Matrix, scales, dbscan, igraph, utils, stats
LinkingTo: Rcpp, RcppEigen
Suggests: Seurat (≥ 3.0.0), testthat, knitr, rmarkdown
Published: 2019-11-15
Author: Marcus Alvarez [aut, cre], Elior Rahmani [aut]
Maintainer: Marcus Alvarez <malvarez at mednet.ucla.edu>
BugReports: https://github.com/marcalva/diem/issues
License: GPL-3
URL: https://www.biorxiv.org/content/10.1101/786285v2
NeedsCompilation: yes
Materials: README
CRAN checks: diem results


Reference manual: diem.pdf
Vignettes: Cleaning snRNA-seq data using DIEM
Package source: diem_1.0.tar.gz
Windows binaries: r-devel: diem_1.0.zip, r-devel-gcc8: diem_1.0.zip, r-release: diem_1.0.zip, r-oldrel: diem_1.0.zip
OS X binaries: r-release: diem_1.0.tgz, r-oldrel: diem_1.0.tgz


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