This package is designed to model gene detection pattern of scRNA-seq 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 |
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Bioconductor views | ATACSeq BatchEffect DimensionReduction GeneExpression KEGG QualityControl SingleCell Transcriptomics |
Maintainer | |
License | GPL-3 + file LICENSE |
Version | 1.1.0 |
URL | https://github.com/ucdavis/quon-titative-biology/BFA |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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