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 < at>
License: GPL-3
NeedsCompilation: no
In views: Omics
CRAN checks: scLink results


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


Package source: scLink_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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