To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("scater")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
A collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control.
Author: Davis McCarthy
Maintainer: Davis McCarthy <davis at ebi.ac.uk>
Citation (from within R,
enter citation("scater")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("scater")
Follow Installation instructions to use this package in your R session.
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