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: 1.0.0
Depends: R (≥ 3.5.0), parallel
Suggests: QUIC, knitr, rmarkdown
Published: 2020-07-28
Author: Wei Vivian Li ORCID iD [aut, cre]
Maintainer: Wei Vivian Li <vivian.li at rutgers.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: scLink results

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Reference manual: scLink.pdf
Vignettes: scLink: Inferring Sparse Gene Co-expression Networks from Single Cell Expression Data
Package source: scLink_1.0.0.tar.gz
Windows binaries: r-devel: scLink_1.0.0.zip, r-release: scLink_1.0.0.zip, r-oldrel: scLink_1.0.0.zip
macOS binaries: r-release: scLink_1.0.0.tgz, r-oldrel: scLink_1.0.0.tgz

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