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scBatchQC

This is the development version of scBatchQC; to use it, please install the devel version of Bioconductor.

Batch-Aware Cell Quality Control for Single-Cell RNA-seq


Bioconductor version: Development (3.24)

scBatchQC provides a hierarchical empirical Bayes framework for quality control in multi-sample, multi-batch single-cell RNA-seq experiments. Unlike per-sample QC tools, scBatchQC jointly models QC metric distributions (library size, gene count, mitochondrial fraction) and doublet rates across batches, enabling calibrated cell-level QC calls that account for batch structure. The package operates natively on SingleCellExperiment objects and returns augmented colData with per-cell QC flags and batch-adjusted doublet scores.

Author: Subhadip Jana [aut, cre] ORCID iD ORCID: 0009-0003-7860-2853

Maintainer: Subhadip Jana <subhadipjana1409 at gmail.com>

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

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("scBatchQC")

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

Documentation

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

browseVignettes("scBatchQC")
Batch-aware QC for multi-sample scRNA-seq with scBatchQC HTML R Script
Reference Manual PDF

Details

biocViews BatchEffect, CellBasedAssays, GeneExpression, QualityControl, Sequencing, SingleCell, Software, StatisticalMethod, Transcriptomics, WorkflowStep
Version 0.99.3
In Bioconductor since BioC 3.24 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.6.0)
Imports SingleCellExperiment, SummarizedExperiment, BiocParallel, scrapper, methods, stats, S4Vectors, ggplot2, rlang
System Requirements
URL https://github.com/SubhadipJana1409/scBatchQC
Bug Reports https://github.com/SubhadipJana1409/scBatchQC/issues
See More
Suggests scDblFinder, BiocStyle, knitr, rmarkdown, testthat (>= 3.0.0), TENxPBMCData, withr
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Package Archives

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

Source Package scBatchQC_0.99.3.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64) scBatchQC_0.99.3.tgz
Source Repository git clone https://git.bioconductor.org/packages/scBatchQC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scBatchQC
Bioc Package Browser https://code.bioconductor.org/browse/scBatchQC/
Package Short Url https://bioconductor.org/packages/scBatchQC/
Package Downloads Report Download Stats