This package is designed to model gene detection pattern of scRNAseq through a binary factor analysis model. This model allows user to pass into a cell level covariate matrix X and gene level covariate matrix Q to account for nuisance variance(e.g batch effect), and it will output a low dimensional embedding matrix for downstream analysis.
Package details 


Bioconductor views  ATACSeq BatchEffect DimensionReduction GeneExpression KEGG QualityControl SingleCell Transcriptomics 
Maintainer  
License  GPL3 + file LICENSE 
Version  1.1.0 
URL  https://github.com/ucdavis/quontitativebiology/BFA 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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