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")):

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.

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

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

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