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
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SQN.pdf |SQN.html✨
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.

2.32 score 1 packages 7 scripts 240 downloads 7 mentions 3 exports 2 dependencies

Last updated 2 years agofrom:58222af0e4. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 10 2024
R-4.5-win	OK	Nov 10 2024
R-4.5-linux	OK	Nov 10 2024
R-4.4-win	OK	Nov 10 2024
R-4.4-mac	OK	Nov 10 2024
R-4.3-win	OK	Nov 10 2024
R-4.3-mac	OK	Nov 10 2024