Bayesian Nonparametrics for Automatic Gating of Flow Cytometry data

Dirichlet process mixture of multivariate normal, skew normal or skew t-distributions modeling oriented towards flow-cytometry data pre-processing applications.

Details

Package:	NPflow
Type:	Package
Version:	0.13.6
Date:	2025-08-20
License:	LGPL-3

The main function in this package is DPMpost.

References

Hejblum BP, Alkhassim C, Gottardo R, Caron F and Thiebaut R (2019) Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data. The Annals of Applied Statistics, 13(1): 638-660. <doi: 10.1214/18-AOAS1209> <arXiv: 1702.04407> https://arxiv.org/abs/1702.04407 doi:10.1214/18-AOAS1209

See also

Useful links:

• http://sistm.github.io/NPflow/

• Report bugs at https://github.com/sistm/NPflow/issues

Author

Boris P. Hejblum, Chariff Alkhassim, Francois Caron — Maintainer: Boris P. Hejblum