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nnNorm

Spatial and intensity based normalization of cDNA microarray data based on robust neural nets


Bioconductor version: Release (3.19)

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.

Author: Adi Laurentiu Tarca <atarca at med.wayne.edu>

Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>

Citation (from within R, enter citation("nnNorm")):

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("nnNorm")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("nnNorm")
nnNorm Tutorial PDF R Script
Reference Manual PDF

Details

biocViews Microarray, Preprocessing, Software, TwoChannel
Version 2.68.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 19 years)
License LGPL
Depends R (>= 2.2.0), marray
Imports graphics, grDevices, marray, methods, nnet, stats
System Requirements
URL http://bioinformaticsprb.med.wayne.edu/tarca/
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package nnNorm_2.68.0.tar.gz
Windows Binary nnNorm_2.68.0.zip
macOS Binary (x86_64) nnNorm_2.68.0.tgz
macOS Binary (arm64) nnNorm_2.68.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/nnNorm
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/nnNorm
Bioc Package Browser https://code.bioconductor.org/browse/nnNorm/
Package Short Url https://bioconductor.org/packages/nnNorm/
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