nnNorm

DOI: 10.18129/B9.bioc.nnNorm    

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

Bioconductor version: Release (3.6)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("nnNorm")

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	2.42.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 13 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_2.42.0.tar.gz
Windows Binary	nnNorm_2.42.0.zip
Mac OS X 10.11 (El Capitan)	nnNorm_2.42.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/nnNorm
Package Short Url	http://bioconductor.org/packages/nnNorm/
Package Downloads Report	Download Stats