DOI: 10.18129/B9.bioc.CellMixS    

Evaluate Cellspecific Mixing

Bioconductor version: Release (3.9)

Evaluate Cellspecific Mixing Scores (CMS) for different batches/groups in scRNA-seq data.

Author: Almut Lütge

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

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


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biocViews BatchEffect, GeneExpression, SingleCell, Software, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.9 (R-3.6) (< 6 months)
License GPL (>=2)
Depends kSamples, R (>= 3.6)
Imports BiocNeighbors, ggplot2, scater, viridis, cowplot, SummarizedExperiment, SingleCellExperiment, tidyr, magrittr, dplyr, ggridges, stats, purrr, listarrays, methods, BiocParallel
Suggests BiocStyle, knitr, rmarkdown, testthat, limma
URL https://github.com/almutlue/CellMixS
BugReports https://github.com/almutlue/CellMixS/issues
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Follow Installation instructions to use this package in your R session.

Source Package CellMixS_1.0.0.tar.gz
Windows Binary CellMixS_1.0.0.zip
Mac OS X 10.11 (El Capitan) CellMixS_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CellMixS
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CellMixS
Package Short Url http://bioconductor.org/packages/CellMixS/
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