scLink: Inferring Functional Gene Co-Expression Networks from Single Cell Data

Uses statistical network modeling to understand the co-expression relationships among genes and to construct sparse gene co-expression networks from single-cell gene expression data.

Version: 1.0.1
Depends: R (≥ 3.5.0), parallel, glasso
Suggests: knitr, rmarkdown
Published: 2020-08-26
Author: Wei Vivian Li ORCID iD [aut, cre]
Maintainer: Wei Vivian Li <vivian.li at rutgers.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: scLink results

Documentation:

Reference manual: scLink.pdf
Vignettes: scLink: Inferring Sparse Gene Co-expression Networks from Single Cell Expression Data

Downloads:

Package source: scLink_1.0.1.tar.gz
Windows binaries: r-devel: scLink_1.0.1.zip, r-release: scLink_1.0.1.zip, r-oldrel: scLink_1.0.1.zip
macOS binaries: r-release (arm64): scLink_1.0.1.tgz, r-oldrel (arm64): scLink_1.0.1.tgz, r-release (x86_64): scLink_1.0.1.tgz, r-oldrel (x86_64): scLink_1.0.1.tgz
Old sources: scLink archive

Linking:

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