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:

• Computation of meta-analytic markers
• Cell type annotation
• Hierarchical cell type annotation

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:

• http://milton.cshl.edu/MetaMarkers/

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.