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cellity
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 (3.23)
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 cam.ac.uk>
Citation (from within R, enter
citation("cellity")):
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("cellity")
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("cellity")
Reference Manual
PDF
NEWS
Text
Details
biocViews
DimensionReduction, GeneExpression, ImmunoOncology, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, SupportVectorMachine, Transcriptomics, Visualization
Version
1.39.0
In Bioconductor since
BioC 3.3 (R-3.3) (9.5 years)
License
GPL (>= 2)
Depends
R (>= 3.3)
Imports
AnnotationDbi, e1071, ggplot2, graphics, grDevices, grid, mvoutlier, org.Hs.eg.db, org.Mm.eg.db, robustbase, stats, topGO, utils
System Requirements
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Build Report
Build Report
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package
cellity_1.39.0.tar.gz
Windows Binary (x86_64)
cellity_1.39.0.zip
macOS Binary (x86_64)
cellity_1.39.0.tgz
macOS Binary (arm64)
cellity_1.39.0.tgz
Source Repository
git clone https://git.bioconductor.org/packages/cellity
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/cellity
Bioc Package Browser
https://code.bioconductor.org/browse/cellity/
Package Short Url
https://bioconductor.org/packages/cellity/
Package Downloads Report
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