pCMF

(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.

Langage:

  • R

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Ghislain Durif
Research Engineer

Applied mathematics and mathematical engineering enthusiast.

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