🌐 Overview
SigBridgeR integrates multiple algorithms, using single-cell RNA sequencing data, bulk expression data, and sample-related phenotypic data, to identify the cells most closely associated with the phenotypic data, performing as a bridge to existing tools.
🔧 Installation
Usually we recommend installing the latest release from GitHub because of the latest features and bug fixes.
- Install the development version from GitHub:
if(!requireNamespace("remotes")) {
install.packages("remotes")
}
remotes::install_github("WangLabCSU/SigBridgeR")- Install from r-universe:
install.packages("SigBridgeR", repos = "https://wanglabcsu.r-universe.dev")📓 Documentation
Get Started:
- Quick Started Guide
- Full Tutorial for more details
- Use
?SigBridgeR::function_nameto access the help documents in R.
If you encounter problems, please see:
- Troubleshooting Guide
- Please use Github issues if you want to file bug reports or feature requests, let us know if you have ideas to make this project better!
Other information:
- What is Single Cell Sequencing?
- What is RNA-seq?