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

Thomas D ShermanTiger GaoElana J Fertig

Published in: BMC bioinformatics (2020)

Altogether our new software enhance the efficiency of the CoGAPS Bayesian matrix factorization algorithm so that it can analyze 1000 times more cells, enabling factorization of large single-cell data sets.

Keyphrases

single cell
rna seq
electronic health record
induced apoptosis
big data
high throughput
data analysis
machine learning
cell cycle arrest
high resolution