Package: cqn 1.59.0
Kasper Daniel Hansen
cqn: Conditional quantile normalization
A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.
Authors:
cqn_1.59.0.tar.gz
cqn_1.59.0.zip(r-4.7)cqn_1.59.0.zip(r-4.6)cqn_1.59.0.zip(r-4.5)
cqn_1.59.0.tgz(r-4.6-any)cqn_1.59.0.tgz(r-4.5-any)
cqn_1.59.0.tar.gz(r-4.7-any)cqn_1.59.0.tar.gz(r-4.6-any)
cqn_1.59.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cqn/json (API)
| # 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-1.59.0(bioc 3.24)cqn-1.58.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologyrnaseqpreprocessingdifferentialexpression
Last updated from:62953d6745. Checks:1 ERROR, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 153 | ||
| linux-devel-x86_64 | OK | 217 | ||
| source / vignettes | OK | 156 | ||
| linux-release-x86_64 | OK | 161 | ||
| macos-release-arm64 | OK | 77 | ||
| macos-oldrel-arm64 | OK | 83 | ||
| windows-devel | OK | 96 | ||
| windows-release | OK | 97 | ||
| windows-oldrel | OK | 79 | ||
| wasm-release | OK | 101 |
Exports:cqncqn.fixedlengthcqnplot
Dependencies:latticeMASSMatrixMatrixModelsmclustnor1mixquantregSparseMsurvival
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 |
