Non-negative Independent Factor Analysis disentangles discrete and continuous sources of variation in scRNA-seq data

This repository includes

1. the submitted version of NIFA package (v0.1.0);
2. the test data (SimKumar4easy) used in the vignette, which is public accessible via the Bioconductor package DuoClustering2018.

The in-development version of NIFA package and the vignette can be accessed via https://github.com/wgmao/NIFA. The NIFA package can be cited as,

Mao, Weiguang, Maziyar Baran Pouyan, Dennis Kostka, and Maria Chikina. "Non-negative Independent Factor Analysis disentangles discrete and continuous sources of variation in scRNA-seq data." bioRxiv (2021): 2020-01.