Overview
Package: nnNorm 2.77.0
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_2.77.0.tar.gz
nnNorm_2.77.0.zip(r-4.7)nnNorm_2.77.0.zip(r-4.6)nnNorm_2.77.0.zip(r-4.5)
nnNorm_2.77.0.tgz(r-4.6-any)nnNorm_2.77.0.tgz(r-4.5-any)
nnNorm_2.77.0.tar.gz(r-4.7-any)nnNorm_2.77.0.tar.gz(r-4.6-any)
nnNorm_2.77.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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-2.77.0(bioc 3.24)nnNorm-2.76.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
microarraytwochannelpreprocessing
Last updated from:cc4f7db1fa. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 149 | ||
| linux-devel-x86_64 | NOTE | 240 | ||
| source / vignettes | OK | 165 | ||
| linux-release-x86_64 | NOTE | 195 | ||
| macos-release-arm64 | NOTE | 119 | ||
| macos-oldrel-arm64 | NOTE | 94 | ||
| windows-devel | NOTE | 166 | ||
| windows-release | NOTE | 130 | ||
| windows-oldrel | NOTE | 131 | ||
| wasm-release | OK | 93 |
