Package: cqn 1.53.0
Kasper Daniel Hansen
cqn: Conditional quantile normalization
A normalization tool for RNA-Seq data, implementing the conditional quantile normalization method.
Authors:
cqn_1.53.0.tar.gz
cqn_1.53.0.zip(r-4.5)cqn_1.53.0.zip(r-4.4)cqn_1.53.0.zip(r-4.3)
cqn_1.53.0.tgz(r-4.4-any)cqn_1.53.0.tgz(r-4.3-any)
cqn_1.53.0.tar.gz(r-4.5-noble)cqn_1.53.0.tar.gz(r-4.4-noble)
cqn_1.53.0.tgz(r-4.4-emscripten)cqn_1.53.0.tgz(r-4.3-emscripten)
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')) |
- montgomery.subset - Mongtomery RNA-seq data.
- sizeFactors.subset - Mongtomery RNA-seq data.
- uCovar - Mongtomery RNA-seq data.
On BioConductor:cqn-1.53.0(bioc 3.21)cqn-1.52.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
immunooncologyrnaseqpreprocessingdifferentialexpression
Last updated 2 months agofrom:1daa01976a. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 27 2024 |
| R-4.5-win | OK | Nov 27 2024 |
| R-4.5-linux | OK | Nov 27 2024 |
| R-4.4-win | OK | Nov 27 2024 |
| R-4.4-mac | OK | Nov 27 2024 |
| R-4.3-win | OK | Nov 27 2024 |
| R-4.3-mac | OK | Nov 27 2024 |
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 |
