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-any)SQN_1.0.6.zip(r-4.6-any)SQN_1.0.6.zip(r-4.5-any)
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✨
DESCRIPTION
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:

On CRAN:

Conda:

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

1.96 score 13 scripts 257 downloads 7 mentions 3 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK110
source / vignettesOK140
linux-releaseOK148
macos-releaseOK190
macos-oldrelOK175
windows-develOK82
windows-releaseOK62
windows-oldrelOK64
wasm-releaseOK94

Exports:mix.qnSQNSQN.demo.data

Dependencies:mclustnor1mix

Readme and manuals

Help Manual

Help pageTopics
subset quantile normalizationmix.qn SQN SQN.demo.data
example datasqnData0