Registration Open for Bioc2024 July 24-26


A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq

Bioconductor version: Release (3.19)

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.

Author: Ruoxin Li [aut, cre], Gerald Quon [aut]

Maintainer: Ruoxin Li <uskli at>

Citation (from within R, enter citation("scBFA")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Gene Detection Analysis for scRNA-seq HTML R Script
Reference Manual PDF


biocViews ATACSeq, BatchEffect, DimensionReduction, GeneExpression, KEGG, QualityControl, SingleCell, Software, Transcriptomics
Version 1.18.0
In Bioconductor since BioC 3.10 (R-3.6) (4.5 years)
License GPL-3 + file LICENSE
Depends R (>= 3.6)
Imports SingleCellExperiment, SummarizedExperiment, Seurat, MASS, zinbwave, stats, copula, ggplot2, DESeq2, utils, grid, methods, Matrix
System Requirements
Bug Reports
See More
Suggests knitr, rmarkdown, testthat, Rtsne
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package scBFA_1.18.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) scBFA_1.18.0.tgz
macOS Binary (arm64) scBFA_1.18.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats