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

This repository includes the submitted version of NIFA package (v0.1.0); the test data (SimKumar4easy) used in the vignette, which is public accessible via the Bioconductor package DuoClustering2018. The developing 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, et al. "Non-negative Independent Factor Analysis disentangles discrete and continuous sources of variation in scRNA-seq data." bioRxiv (2021): 2020-01.

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University of Pittsburgh
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