Package: cqn 1.51.0
cqn: Conditional quantile normalization
A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.
Authors:
cqn_1.51.0.tar.gz
cqn_1.51.0.zip(r-4.5)cqn_1.51.0.zip(r-4.4)cqn_1.51.0.zip(r-4.3)
cqn_1.51.0.tgz(r-4.4-any)cqn_1.51.0.tgz(r-4.3-any)
cqn_1.51.0.tar.gz(r-4.5-noble)cqn_1.51.0.tar.gz(r-4.4-noble)
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cqn.pdf |cqn.html✨
cqn/json (API)
NEWS
# Install 'cqn' in R: |
install.packages('cqn', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- montgomery.subset - Mongtomery RNA-seq data.
- sizeFactors.subset - Mongtomery RNA-seq data.
- uCovar - Mongtomery RNA-seq data.
On BioConductor:cqn-1.51.0(bioc 3.20)cqn-1.50.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:46d54eea4c
Exports:cqncqn.fixedlengthcqnplot
Dependencies:latticeMASSMatrixMatrixModelsmclustnor1mixpreprocessCorequantregSparseMsurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
CQN (conditional quantile normalization) for RNA-Seq data | cqn cqn.fixedlength print.cqn |
Plot the systematic effect estimated as part of a CQN normalization.~ | cqnplot |
Mongtomery RNA-seq data. | montgomery.subset sizeFactors.subset uCovar |