nnNorm

DOI: 10.18129/B9.bioc.nnNorm    

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

Bioconductor version: Release (3.11)

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>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("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")

 

PDF	R Script	nnNorm Tutorial
PDF		Reference Manual

Details

biocViews	Microarray, Preprocessing, Software, TwoChannel
Version	2.52.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 15.5 years)
License	LGPL
Depends	R (>= 2.2.0), marray
Imports	graphics, grDevices, marray, methods, nnet, stats
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URL	http://bioinformaticsprb.med.wayne.edu/tarca/
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Build Report

Package Archives

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

Source Package	nnNorm_2.52.0.tar.gz
Windows Binary	nnNorm_2.52.0.zip
macOS 10.13 (High Sierra)	nnNorm_2.52.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/nnNorm
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/nnNorm
Package Short Url	https://bioconductor.org/packages/nnNorm/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive