Rhonda Bacher and Christina Kendziorski
University of Wisconsin Madison
Contact email: rhonda.bacher@gmail.com, kendzior@biostat.wisc.edu
SCnorm is available on Bioconductor: SCnorm
The development version of SCnorm can be downloaded from Github: SCnorm
(Does not require R >= 3.4)
Last Update: 07/21/2017
To install from Bioconductor devel:
> library(BiocInstaller)
> useDevel()
> source("https://bioconductor.org/biocLite.R")
> biocLite("SCnorm")
To install directly from GitHub:
> library(devtools)
> devtools::install_github("rhondabacher/SCnorm")
To install from Github without needing R 3.4.1:
> devtools::install_github("rhondabacher/SCnorm", ref="devel")
Previous versions can be downloaded and installed using:
> install.packages("YOUR_PATH/SCnorm_X.X.X.tar.gz", repos=NULL, type="source")
> library(SCnorm)
Additional releases can be found on GitHub: SCnorm releases
Data used in the Bacher and Chu et al. manuscript may be accessed on GEO: GSE85917
Please cite SCnorm if you use it in your research:
Bacher R, Chu LF, Leng N, Gasch AP, Thomson JA, Stewart RM, Newton M,
Kendziorski C.
SCnorm: robust normalization of single-cell
RNA-seq data. Nature Methods. 2017 Jun 1;14(6):584-6.