Awesome
MetaMarkers: robust marker signatures from single-cell data
To install the package, run the following lines in R:
if (!requireNamespace("devtools", quietly = TRUE))
install.packages("devtools")
devtools::install_github("gillislab/MetaMarkers")
The installation process is usually fast, but can take up to 10 minutes starting from an empty R installation.
You can access vignettes of the package in HTML format or in an interactive Rmd format. The demo takes approximately 2 minutes to run (not counting installation time). We propose 3 vignettes:
A MetaMarkers webserver is under construction. On the MetaMarkers webserver, you can upload your dataset and obtain annotations for 85 neuronal cell types defined by the BICCN based on meta-analytic markers. To access the demo, visit:
The package has been tested on recent R versions (3.6 and 4.0) on Linux and Windows and is expected to work on any decently recent R installation.