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This is the development version of cellity; for the stable release version, see cellity.

Quality Control for Single-Cell RNA-seq Data

Bioconductor version: Development (3.20)

A support vector machine approach to identifying and filtering low quality cells from single-cell RNA-seq datasets.

Author: Tomislav Illicic, Davis McCarthy

Maintainer: Tomislav Ilicic <ti243 at>

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


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

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

# The following initializes usage of Bioc devel


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:

An introduction to the cellity package HTML R Script
Reference Manual PDF


biocViews DimensionReduction, GeneExpression, ImmunoOncology, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, SupportVectorMachine, Transcriptomics, Visualization
Version 1.33.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL (>= 2)
Depends R (>= 3.3)
Imports AnnotationDbi, e1071, ggplot2, graphics, grDevices, grid, mvoutlier,,, robustbase, stats, topGO, utils
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Suggests BiocStyle, caret, knitr, testthat, rmarkdown
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Source Package cellity_1.33.0.tar.gz
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