Package: BEARscc
Type: Package
Title: BEARscc (Bayesian ERCC Assesstment of Robustness of Single Cell
        Clusters)
Version: 1.6.0
Author: David T. Severson <david_severson@hms.harvard.edu>
Maintainer: Benjamin Schuster-Boeckler
 <benjamin.schuster-boeckler@ludwig.ox.ac.uk>
Description: BEARscc is a noise estimation and injection tool that is 
    designed to assess putative single-cell RNA-seq clusters in the 
    context of experimental noise estimated by ERCC spike-in controls.
License: GPL-3
Imports: ggplot2, SingleCellExperiment, data.table, stats, utils,
        graphics, compiler
Suggests: testthat, cowplot, knitr, rmarkdown, BiocStyle, NMF
VignetteBuilder: knitr
RoxygenNote: 6.0.1
biocViews: ImmunoOncology, SingleCell, Clustering, Transcriptomics
git_url: https://git.bioconductor.org/packages/BEARscc
git_branch: RELEASE_3_10
git_last_commit: 2cbd532
git_last_commit_date: 2019-10-29
Date/Publication: 2019-10-29
NeedsCompilation: no
Packaged: 2019-10-30 04:15:49 UTC; biocbuild
Built: R 3.6.1; ; 2019-10-30 12:43:37 UTC; windows
