To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("cellity")

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

cellity

DOI: 10.18129/B9.bioc.cellity    

Quality Control for Single-Cell RNA-seq Data

Bioconductor version: Release (3.5)

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 and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("cellity")

Documentation

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

Details

biocViews DimensionReduction, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, Software, SupportVectorMachine, Transcriptomics, Visualization
Version 1.4.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 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
LinkingTo
Suggests BiocStyle, caret, knitr, testthat, rmarkdown
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package cellity_1.4.0.tar.gz
Windows Binary cellity_1.4.0.zip
Mac OS X 10.11 (El Capitan) cellity_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/cellity
Package Short Url http://bioconductor.org/packages/cellity/
Package Downloads Report Download Stats

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