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Binary Factor Analysis: a dimensionality reduction tool for noisy, high throughput single cell genomic data

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scBFA

Single cell Binary Factor Analysis (scBFA) and Binary PCA - These are tools for performing dimensionality reduction in large scRNA-seq datasets, as described in: Li, R., Quon, G. (2018) Gene detection models outperform gene expression for large-scale scRNA-seq analysis. bioRxiv doi: https://doi.org/10.1101/454629.

A user can install scBFA currently via the following command

library(devtools)
install_github("quon-titative-biology/scBFA")