Package: nnNorm 2.71.0
Adi Laurentiu Tarca
nnNorm: Spatial and intensity based normalization of cDNA microarray data based on robust neural nets
This package allows to detect and correct for spatial and intensity biases with two-channel microarray data. The normalization method implemented in this package is based on robust neural networks fitting.
Authors:
nnNorm_2.71.0.tar.gz
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nnNorm_2.71.0.tgz(r-4.4-any)nnNorm_2.71.0.tgz(r-4.3-any)
nnNorm_2.71.0.tar.gz(r-4.5-noble)nnNorm_2.71.0.tar.gz(r-4.4-noble)
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nnNorm.pdf |nnNorm.html✨
nnNorm/json (API)
| # Install 'nnNorm' in R: |
| install.packages('nnNorm', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:nnNorm-2.71.0(bioc 3.21)nnNorm-2.70.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraytwochannelpreprocessing
Last updated 3 months agofrom:18cab7b330. Checks:1 OK, 6 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Dec 29 2024 |
| R-4.5-win | NOTE | Dec 29 2024 |
| R-4.5-linux | NOTE | Dec 29 2024 |
| R-4.4-win | NOTE | Dec 29 2024 |
| R-4.4-mac | NOTE | Dec 29 2024 |
| R-4.3-win | NOTE | Dec 29 2024 |
| R-4.3-mac | NOTE | Dec 29 2024 |
