scLink: Inferring gene networks from single-cell gene expression data

Wei Vivian Li
2021-08-04

Introduction

Any suggestions on the package are welcome! For technical problems,
please report to Issues.
For suggestions and comments on the method, please contact Vivian
(vivian.li@rutgers.edu).

You can also browse scLink’s applications and results at its web
app.

Installation

The package is available on CRAN. For installation please use the
following codes in R

install.packages("scLink")

Quick start

scLink has three main functions:

• sclink_norm for pre-processing gene expression data
• sclink_cor for calculating the co-expression matrix by scLink
• sclink_net for constructing the gene co-expression network by
  scLink

For detailed usage, please refer to the package
manual
or
vignette.

Citation

Wei Vivian Li, Yanzeng Li. (2021) scLink: Inferring Sparse Gene
Co-expression Networks from Single-cell Expression Data. Genomics,
Proteomics & Bioinformatics, in press.
Link