robustSingleCell: Robust Clustering of Single Cell RNA-Seq Data

Robust single cell clustering and comparison of population compositions across tissues and experimental models via similarity analysis from Magen 2019 <doi:10.1101/543199>.

Version: 0.1.1
Depends: R (≥ 3.2.0)
Imports: utils, grDevices, graphics, Matrix, limma, biomaRt, dplyr, ggplot2, reshape2, GGally, ggrepel, RColorBrewer, gplots, ggpubr, cccd, rslurm, Rtsne, igraph, scales, RANN, Rcpp
LinkingTo: Rcpp
Suggests: GEOquery, knitr, rmarkdown, testthat
Published: 2019-04-23
Author: Assaf Magen ORCID iD [aut, cph], Meng Wang ORCID iD [aut, cre], Hao Chen [ctb]
Maintainer: Meng Wang <szmamie at live.com>
BugReports: https://github.com/asmagen/robustSingleCell/issues
License: Artistic-2.0
URL: https://github.com/asmagen/robustSingleCell
NeedsCompilation: yes
Materials: README
CRAN checks: robustSingleCell results

Downloads:

Reference manual: robustSingleCell.pdf
Vignettes: Introduction to robustSingleCell
Package source: robustSingleCell_0.1.1.tar.gz
Windows binaries: r-devel: robustSingleCell_0.1.1.zip, r-release: robustSingleCell_0.1.1.zip, r-oldrel: robustSingleCell_0.1.1.zip
OS X binaries: r-release: robustSingleCell_0.1.1.tgz, r-oldrel: robustSingleCell_0.1.1.tgz
Old sources: robustSingleCell archive

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