nnNorm
Spatial and intensity based normalization of cDNA microarray data based on robust neural nets
Bioconductor version: 3.24 · Package version: 2.77.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("nnNorm")Details
| Maintainer | Adi Laurentiu Tarca <atarca@med.wayne.edu> |
| Author | Adi Laurentiu Tarca <atarca@med.wayne.edu> |
| License | LGPL |
| URL | http://bioinformaticsprb.med.wayne.edu/tarca/ |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Microarray, Preprocessing, Software, TwoChannel |
| Package Short Url | https://bioconductor.org/packages/nnNorm/ |
Citation
From within R, enter citation("nnNorm"):
Adi Laurentiu Tarca. nnNorm: Spatial and intensity based normalization of cDNA microarray data based on robust neural nets. doi:10.18129/B9.bioc.nnNorm, R package version 2.77.0, https://bioconductor.org/packages/nnNorm.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | nnNorm_2.77.0.tar.gz |
| Windows binary (x86_64) | nnNorm_2.77.0.zip |
| macOS binary (arm64) | nnNorm_2.77.0.tgz |
| macOS binary (x86_64) | nnNorm_2.77.0.tgz |