(full development)

Collaboration with:

  • Sophie Lambert-Lacroix (Univ Grenoble Alpes)
  • Franck Picard (CNRS - LBBE - Univ Lyon)

The pCMF package contains mplementation of the probabilistic Count Matrix Factorization (pCMF) method based on the Gamma-Poisson hirerarchical factor model with potential sparisty-inducing priors on factor V. This method is specifically designed to analyze large count matrices with numerous potential drop-out events (also called zero-inflation) such as gene expression profiles from single cells data (scRNA-seq) obtained by high throughput sequencing.


  • R
  • C++
Ghislain Durif
Ghislain Durif
Research Engineer

Research engineer