DOI: 10.18129/B9.bioc.CellMixS  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see CellMixS.

Evaluate Cellspecific Mixing

Bioconductor version: 3.16

CellMixS provides metrics and functions to evaluate batch effects, data integration and batch effect correction in single cell trancriptome data with single cell resolution. Results can be visualized and summarised on different levels, e.g. on cell, celltype or dataset level.

Author: Almut Lütge [aut, cre]

Maintainer: Almut Lütge <almut.luetge at uzh.ch>

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


To install this package, start R (version "4.2") and enter:

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


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


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HTML R Script Explore data integration and batch effects
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Text   NEWS


biocViews BatchEffect, GeneExpression, SingleCell, Software, Transcriptomics
Version 1.14.0
In Bioconductor since BioC 3.9 (R-3.6) (4 years)
License GPL (>=2)
Depends kSamples, R (>= 4.0)
Imports BiocNeighbors, ggplot2, scater, viridis, cowplot, SummarizedExperiment, SingleCellExperiment, tidyr, magrittr, dplyr, ggridges, stats, purrr, methods, BiocParallel, BiocGenerics
Suggests BiocStyle, knitr, rmarkdown, testthat, limma, Rtsne
URL https://github.com/almutlue/CellMixS
BugReports https://github.com/almutlue/CellMixS/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

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

Source Package CellMixS_1.14.0.tar.gz
Windows Binary CellMixS_1.14.0.zip
macOS Binary (x86_64) CellMixS_1.14.0.tgz
macOS Binary (arm64) CellMixS_1.14.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CellMixS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CellMixS
Bioc Package Browser https://code.bioconductor.org/browse/CellMixS/
Package Short Url https://bioconductor.org/packages/CellMixS/
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