cellity

This is thereleased version of cellity; for the devel version, seecellity.

Quality Control for Single-Cell RNA-seq Data

Bioconductor version: Release (3.22)

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, entercitation("cellity")):

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor 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	1.38.0
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
URL

Suggests	BiocStyle,caret,knitr,testthat,rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report

FollowInstallation instructions to use this package in your R session.

Source Package	cellity_1.38.0.tar.gz
Windows Binary (x86_64)	cellity_1.38.0.zip
macOS Binary (x86_64)	cellity_1.38.0.tgz
macOS Binary (arm64)	cellity_1.38.0.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