CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data structures

Overview of attention for article published in BMC Bioinformatics, October 2020

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In the top 25% of all research outputs scored by Altmetric
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So far, Altmetric has seen 24 tweets from 24 users, with an upper bound of 73,370 followers.

RT @BMCBioinfo: CoGAPS 3: Bayesian non-negative matrix factorization for single-cell analysis with asynchronous updates and sparse data str…

RT @FertigLab: Our method for parallelization of Bayesian NMF to scale for single cell data is finally out https://t.co/3GghGa4vWS The for…

RT @FertigLab: Our method for parallelization of Bayesian NMF to scale for single cell data is finally out https://t.co/3GghGa4vWS The for…

RT @FertigLab: Our method for parallelization of Bayesian NMF to scale for single cell data is finally out https://t.co/3GghGa4vWS The for…

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