MERINGUE characterizes spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with non-uniform cellular densities.
The overall approach is detailed in the following publication: Miller, B., Bambah-Mukku, D., Dulac, C., Zhuang, X. and Fan, J. Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomics data with nonuniform cellular densities. Genome Research. May 2021.
MERINGUE is a computational framework based on spatial auto-correlation and cross-correlation analysis.
You can use MERINGUE to:
In a manner that:
MERINGUE, we recommend using
# install.packages(devtools) require(devtools) devtools::install_github('JEFworks-Lab/MERingue', build_vignettes = TRUE)
We welcome any bug reports, enhancement requests, general questions, and other contributions. To submit a bug report or enhancement request, please use the
MERINGUE GitHub issues tracker. For more substantial contributions, please fork this repo, push your changes to your fork, and submit a pull request with a good commit message.