Interactively explore gene expression across cell classes and create publication quality figures
- If not already on your system, install the
renvpackage in RStudio with:
install.packages("renv")- Download or clone this repository.
- Place your Large Seurat object (
runs_combined.rds) into the main project folder. - To launch the app, open the
app.Rfile in RStudio, then click the "Run App" button in the top right of the editing panel. That's it!
Follow these instructions to create an account, install the rsconnect package, and configure your account. Then just click the "Publish" button in the RStudio editing panel to deploy.
renv is a dependency manager for R that stores environment info in renv.lock and the renv/ directory. It should automatically detect the environment and load packages associated with this project. If this fails (i.e. you get a "there is no package called 'XXX'" error message), check that you are in the correct project directory with getwd().