sccore: Core Utilities for Single-Cell RNA-Seq

Core utilities for single-cell RNA-seq data analysis. Contained within are utility functions for working with differential expression (DE) matrices and count matrices, a collection of functions for manipulating and plotting data via 'ggplot2', and functions to work with cell graphs and cell embeddings. Graph-based methods include embedding kNN cell graphs into a UMAP <doi:10.21105/joss.00861>, collapsing vertices of each cluster in the graph, and propagating graph labels.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, ggrepel, graphics, grDevices, igraph, magrittr, Matrix, methods, pROC, parallel, Rcpp, rlang, scales, tibble, utils, uwot, withr
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppEigen
Suggests: ggrastr (≥ 0.1.7), pbapply, rmumps, testthat
Published: 2020-09-30
Author: Peter Kharchenko [aut], Viktor Petukhov [aut], Ramus Rydbirk [aut], Evan Biederstedt [aut, cre]
Maintainer: Evan Biederstedt <evan.biederstedt at gmail.com>
BugReports: https://github.com/kharchenkolab/sccore/issues
License: GPL-3
URL: https://github.com/kharchenkolab/sccore
NeedsCompilation: yes
Materials: README
CRAN checks: sccore results

Downloads:

Reference manual: sccore.pdf
Package source: sccore_0.1.0.tar.gz
Windows binaries: r-devel: sccore_0.1.0.zip, r-release: sccore_0.1.0.zip, r-oldrel: sccore_0.1.0.zip
macOS binaries: r-release: not available, r-oldrel: sccore_0.1.0.tgz

Reverse dependencies:

Reverse imports: leidenAlg

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sccore to link to this page.