To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cellity")

In most cases, you don't need to download the package archive at all.

cellity

Quality Control for Single-Cell RNA-seq Data

Bioconductor version: Release (3.4)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("cellity")

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

biocViews	DimensionReduction, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, SupportVectorMachine, Transcriptomics, Visualization
Version	1.2.0
In Bioconductor since	BioC 3.3 (R-3.3) (1 year)
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
LinkingTo
Suggests	BiocStyle, caret, knitr, testthat, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	cellity_1.2.0.tar.gz
Windows Binary	cellity_1.2.0.zip
Mac OS X 10.9 (Mavericks)	cellity_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/cellity/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/cellity/
Package Downloads Report	Download Stats

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