sctools is a R package for single cell RNA-seq data analysis of dynamic biological process. sctools help users to preprocess their raw RNA-seq data, and further look insight the gene expression pattern. Some state-of-art methods are available, including dimensionality reduction, regression analysis and clustering.
Some packages need to be installed before sctools,
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install(c("org.Mm.eg.db","org.Hs.eg.db","topGO","lfa"))
To install development version from GitHub, use the devtools package,
install.packages("devtools")
library(devtools)
install_github('charliex210/sctools')
We welcome any bug reports, enhancement requests, and other contributions. To submit a bug report or enhancement request, please put it in issues
. For more substantial contributions, please fork this repo, push your changes to your fork, and submit a pull request with a good commit message. For more general discussions or troubleshooting, please email lin_lihui@gibh.ac.cn.
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