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scLink  

Inferring Functional Gene Co-Expression Networks from Single Cell Data
View on CRAN: Click here


Download and install scLink package within the R console
Install from CRAN:
install.packages("scLink")

Install from Github:
library("remotes")
install_github("cran/scLink")

Install by package version:
library("remotes")
install_version("scLink", "1.0.1")



Attach the package and use:
library("scLink")
Maintained by
Wei Vivian Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-28
Latest Update: 2020-08-26
Description:
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.
How to cite:
Wei Vivian Li (2020). scLink: Inferring Functional Gene Co-Expression Networks from Single Cell Data. R package version 1.0.1, https://cran.r-project.org/web/packages/scLink. Accessed 26 Jun. 2026.
Previous versions and publish date:
1.0.0 (2020-07-28 04:40), 1.0.1 (2020-08-26 16:20)
Other packages that cited scLink R package
View scLink citation profile
Other R packages that scLink depends, imports, suggests or enhances
Complete documentation for scLink
Functions, R codes and Examples using the scLink R package
Some associated functions: sclink_cor . sclink_net . sclink_norm . 
Some associated R codes: get_mix_parameters.R . get_res.R . main.R .  Full scLink package functions and examples
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