We are now updating RSCORE to its second version. It's almost ready. Just a moment, please! 2021.09.02
RSCORE is an R package to explore single-cell RNA-seq data with the view of molecular networks. The method is outlined in our manuscript
Enhancing single-cell cellular state inference by incorporating molecular network features
Ji Dong, Peijie Zhou, Yichong Wu, Wendong Wang, Yidong Chen, Xin Zhou, Haoling Xie, Jiansen Lu, Xiannian Zhang, Lu Wen, Wei Fu, Tiejun Li, Fuchou Tang.
The preprint version is available on bioRxiv.
To run RSCORE, you need to install some extra dependencies:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager")
## Required
BiocManager::install(c("Seurat", "AUCell", "STRINGdb", "propr", "coop", "network","intergraph"))
## To support parallel execution
BiocManager::install("doRNG")
install.packages("doMC", repos="http://R-Forge.R-project.org")
install.packages("doParallel")
## To get marker genes quickly
BiocManager::install("mahmoudibrahim/genesorteR")
## To do GO enrichment
BiocManager::install(c("clusterProfiler", "org.Hs.eg.db"))
Then you can install RSCORE:
if (!requireNamespace("devtools", quietly = TRUE)) install.packages("devtools")
devtools::install_github("wycwycpku/RSCORE")
if you want to build vignettes, you need to add an option
devtools::install_github("wycwycpku/RSCORE", build_opts = NULL)
For more details and basic usage see following tutorials
As for PPI data, we have collected some information for human (9606) and mouse (10090) in PPI_data. You can also use our functions getPPI_Biogrid() or getPPI_String().
2019/10/26:
- Get PPI data from STRING 11.0.
2019/07/23:
- Add GO enrichment function.
- Correct some bugs.