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SQN  

Subset Quantile Normalization
View on CRAN: Click here


Download and install SQN package within the R console
Install from CRAN:
install.packages("SQN")

Install from Github:
library("remotes")
install_github("cran/SQN")

Install by package version:
library("remotes")
install_version("SQN", "1.0.6")



Attach the package and use:
library("SQN")
Maintained by
Martin Aryee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-01-22
Latest Update: 2022-06-10
Description:
Normalization based a subset of negative control probes as described in 'Subset quantile normalization using negative control features'. Wu Z, Aryee MJ, J Comput Biol. 2010 Oct;17(10):1385-95 [PMID 20976876].
How to cite:
Martin Aryee (2010). SQN: Subset Quantile Normalization. R package version 1.0.6, https://cran.r-project.org/web/packages/SQN. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:25), 1.0.4 (2011-08-03 08:26), 1.0.5 (2012-08-13 19:24), 1.0 (2010-01-22 08:47)
Other packages that cited SQN R package
View SQN citation profile
Other R packages that SQN depends, imports, suggests or enhances
Complete documentation for SQN
Functions, R codes and Examples using the SQN R package
Some associated functions: SQN . sqnData0 . 
Some associated R codes: SQN-internal.R . SQN.R . mix.qn.R .  Full SQN package functions and examples
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