DIMM-SC

Aug 18, 2020

DIMMSC is an R package for clustering droplet-based single cell transcriptomic data. It uses Dirichlet mixture prior to characterize variations across different clusters. An expectation-maximization algorithm is used for parameter inference. This package can provide clustering uncertainty.

Reference

Zhe Sun, Ting Wang, Ke Deng, Xiao-Feng Wang, Robert Lafyatis, Ying Ding, Ming Hu, Wei Chen. DIMM-SC: A Dirichlet mixture model for clustering droplet-based single cell transcriptomic data. Bioinformatics 2017.

Contact

Please feel free to contact us when you have questions.

Wei Chen ( wei.chen@chp.edu) or Ming Hu ( hum@ccf.org)

To homepage: Wei Chen

Last update: Aug 2017