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Demultiplexing oligo-barcoded scRNA-seq data using regression mixture models

Bioconductor version: Release (3.19)

A package for demultiplexing single-cell sequencing experiments of pooled cells labeled with barcode oligonucleotides. The package implements methods to fit regression mixture models for a probabilistic classification of cells, including multiplet detection. Demultiplexing error rates can be estimated, and methods for quality control are provided.

Author: Hans-Ulrich Klein [aut, cre]

Maintainer: Hans-Ulrich Klein <hansulrich.klein at>

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


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:

Demultiplexing cells with demuxmix HTML R Script
Reference Manual PDF


biocViews Classification, Preprocessing, Regression, Sequencing, SingleCell, Software
Version 1.6.0
In Bioconductor since BioC 3.16 (R-4.2) (1.5 years)
License Artistic-2.0
Depends R (>= 4.0.0)
Imports stats, MASS, Matrix, ggplot2, gridExtra, methods
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Suggests BiocStyle, cowplot, DropletUtils, knitr, reshape2, rmarkdown, testthat (>= 3.0.0)
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Follow Installation instructions to use this package in your R session.

Source Package demuxmix_1.6.0.tar.gz
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macOS Binary (x86_64) demuxmix_1.6.0.tgz
macOS Binary (arm64) demuxmix_1.6.0.tgz
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