cellity

Quality Control for Single-Cell RNA-seq Data


Bioconductor version: Release (3.19)

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 "4.4") 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 1.32.0
In Bioconductor since BioC 3.3 (R-3.3) (8.5 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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Suggests BiocStyle, caret, knitr, testthat, rmarkdown
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Package Archives

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

Source Package cellity_1.32.0.tar.gz
Windows Binary (x86_64) cellity_1.32.0.zip
macOS Binary (x86_64) cellity_1.32.0.tgz
macOS Binary (arm64) cellity_1.32.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cellity
Source Repository (Developer Access) git clone [email protected]:packages/cellity
Bioc Package Browser https://code.bioconductor.org/browse/cellity/
Package Short Url https://bioconductor.org/packages/cellity/
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