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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
DOI: 10.32614/CRAN.package.scLink
Author: Wei Vivian Li ORCID iD [aut, cre]
Maintainer: Wei Vivian Li <vivian.li at rutgers.edu>
License: GPL-3
NeedsCompilation: no
In views: Omics
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:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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