scMerge is a R package for merging and normalising single-cell RNA-Seq datasets.

scMerge is available on Bioconductor (https://bioconductor.org/packages/scMerge). You can install it using:

## Install scMerge from Bioconductor, requires R 3.6.0 or above
BiocManager::install("scMerge")
## You can also try to install the Bioconductor devel version of scMerge:
BiocManager::install("scMerge", version = "devel")

You can find the vignette at our website: https://sydneybiox.github.io/scMerge/index.html.

You can find a list of case studies here: https://sydneybiox.github.io/scMerge/articles/.

If you have any enquries, especially about performing scMerge integration on your own data, then please contact [email protected]. You can also open an issue on GitHub.

scMerge leverages factor analysis, stable expression, and pseudoreplication to merge multiple single-cell RNA-seq datasets

Yingxin Lin, Shila Ghazanfar, Kevin Y.X. Wang, Johann A. Gagnon-Bartsch, Kitty K. Lo, Xianbin Su, Ze-Guang Han, John T. Ormerod, Terence P. Speed, Pengyi Yang, Jean Y. H. Yang

Our manuscript published at PNAS can be found here.