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cellity

Quality Control for Single-Cell RNA-seq Data

Bioconductor version: Release (3.17)

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 "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

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")
An introduction to the cellity package HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DimensionReduction, GeneExpression, ImmunoOncology, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, SupportVectorMachine, Transcriptomics, Visualization
Version 1.28.0
In Bioconductor since BioC 3.3 (R-3.3) (7.5 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
Linking To
Suggests BiocStyle, caret, knitr, testthat, rmarkdown
System Requirements
Enhances
URL
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Depends On Me
Imports Me
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Build Report  

Package Archives

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

Source Package cellity_1.28.0.tar.gz
Windows Binary cellity_1.28.0.zip (64-bit only)
macOS Binary (x86_64) cellity_1.28.0.tgz
macOS Binary (arm64) cellity_1.28.0.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 Download Stats