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:Wei Vivian Li [aut, cre]

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)
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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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.23 score 1 dependencies 1 mentions 11 scripts 156 downloads

Last updated 4 years agofrom:589cef04ea. Checks:OK: 1 WARNING: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-linuxWARNINGSep 07 2024

Exports:sclink_corsclink_netsclink_norm

Dependencies:glasso

Introduction to scLink

Wei Vivian Li, Rutgers Department of Biostatistics and Epidemiology

Rendered fromscLink-vignette.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2020-07-28
Started: 2020-07-28