 
  
 
   
   This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see scater.
Bioconductor version: 3.9
A collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control and visualization.
Author: Davis McCarthy [aut, cre], Kieran Campbell [aut], Aaron Lun [aut, ctb], Quin Wills [aut], Vladimir Kiselev [ctb]
Maintainer: Davis McCarthy <davis at ebi.ac.uk>
Citation (from within R,
      enter citation("scater")):
To install this package, start R (version "3.6") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("scater")
    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("scater")
    
| HTML | R Script | 1. An introduction to the scater package | 
| HTML | R Script | 2. Data visualisation methods in scater | 
| HTML | R Script | 3. Quality control with scater | 
| Reference Manual | ||
| Text | NEWS | 
Follow Installation instructions to use this package in your R session.
| Source Package | scater_1.12.2.tar.gz | 
| Windows Binary | scater_1.12.2.zip (32- & 64-bit) | 
| Mac OS X 10.11 (El Capitan) | scater_1.12.2.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/scater | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scater | 
| Package Short Url | https://bioconductor.org/packages/scater/ | 
| Package Downloads Report | Download Stats | 
 
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