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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