scLink: Inferring Functional Gene Co-Expression Networks from SingleCell 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 [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.html ,scLink.pdf |
| Vignettes: | scLink: Inferring Sparse Gene Co-expression Networks from Single Cell Expression Data (source,R code) |
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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