jingeyu/CSSN: Recovering spatially-varying cell-specific gene co-expression networks for single-cell spatial expression data.

The R package CSSN implements the two-step algorithm proposed by Jinge Yu and Xiangyu Luo that recovers spatially-varying cell-specific gene co-expression networks for single-cell spatial expression data. The packages aim to provide estimates for cell-specific gene co-expression networks as well as network predictions in tissue locations where cells are missing. CSSN can be installed in Windows, Linux, and Mac OS.

Getting started

Package details

AuthorJinge Yu, Xiangyu Luo
Bioconductor views GeneExpression GraphAndNetwork Normalization StatisticalMethod
MaintainerJinge Yu <yjgruc@ruc.edu.cn>
LicenseGPL (>= 2)
Version0.99.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jingeyu/CSSN")
jingeyu/CSSN documentation built on April 21, 2021, 5:18 p.m.