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 |
Maintainer: | Wei Vivian Li <vivian.li at rutgers.edu> |
License: | GPL-2 |
NeedsCompilation: | no |
CRAN checks: | scLink results |
Reference manual: | scLink.pdf |
Vignettes: |
scLink: Inferring Sparse Gene Co-expression Networks from Single Cell Expression Data |
Package source: | scLink_1.0.0.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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