Package: scLink 1.0.1
Wei Vivian Li
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.
Authors:
scLink_1.0.1.tar.gz
scLink_1.0.1.tar.gz(r-4.5-noble)scLink_1.0.1.tar.gz(r-4.4-noble)
scLink_1.0.1.tgz(r-4.4-emscripten)scLink_1.0.1.tgz(r-4.3-emscripten)
scLink.pdf |scLink.html✨
scLink/json (API)
# Install 'scLink' in R: |
install.packages('scLink', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:589cef04ea. Checks:OK: 1 WARNING: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 06 2024 |
R-4.5-linux | WARNING | Dec 06 2024 |
Exports:sclink_corsclink_netsclink_norm
Dependencies:glasso
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate scLink's correlation matrix | sclink_cor |
Infer gene co-expression networks | sclink_net |
Pre-process data for scLink | sclink_norm |