Package: SQN 1.0.6

SQN: Subset Quantile Normalization

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].

Authors:Zhijin Wu, Martin Aryee

SQN_1.0.6.tar.gz
SQN_1.0.6.zip(r-4.7)SQN_1.0.6.zip(r-4.6)SQN_1.0.6.zip(r-4.5)
SQN_1.0.6.tgz(r-4.6-any)SQN_1.0.6.tgz(r-4.5-any)
SQN_1.0.6.tar.gz(r-4.7-any)SQN_1.0.6.tar.gz(r-4.6-any)
SQN_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SQN/json (API)

# Install 'SQN' in R:

install.packages('SQN', repos = c('https://martinaryee.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

sqnData0 - Example data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.85 score 7 scripts 262 downloads 7 mentions 3 exports 2 dependencies

Last updated from:58222af0e4. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	98
source / vignettes	OK	150
linux-release-x86_64	OK	96
macos-release-arm64	OK	130
macos-oldrel-arm64	OK	127
windows-devel	OK	75
windows-release	OK	63
windows-oldrel	OK	69
wasm-release	OK	84