In Vivianstats/scLink: Inferring functional gene co-expression networks from single cell gene expression data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

library("badger")

cat(
    badge_cran_release("scLink", "green")
    # badge_cran_download("scLink", "grand-total", "green")
)

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 ([e-mail]).

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

Vivianstats/scLink documentation built on Aug. 7, 2022, 9:55 p.m.