R package for bayesNMf, a computationally efficient Gibbs sampler for Bayesian Poisson NMF which automatically determines the number of latent factors while quantifying uncertainties of the learned matrices.

Non-Negative Matrix Factorization for Binary Data

Detecting mutational signatures via bayesian inference and a reference catalog

archR: Identifying promoter sequence architectures de novo using NMF

Multi-subject Single Cell Deconvolution

identify segments of customers by geography using unsupervised learning

SCDC project, originally on: https://github.com/meichendong/SCDC. Support sparse matrix among other additions.

Decomposition of heterogeneous DNA methylomes