nnNorm

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

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("nnNorm")

To cite this package in a publication, start R and enter:

    citation("nnNorm")

Documentation

PDF R Script nnNorm Tutorial
PDF   Reference Manual

Details

biocViews Microarray, Preprocessing, Software, TwoChannel
Version 2.29.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License LGPL
Depends R (>= 2.2.0), marray
Imports graphics, grDevices, marray, methods, nnet, stats
Suggests
System Requirements
URL http://bioinformaticsprb.med.wayne.edu/tarca/
Depends On Me
Imports Me
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Package Downloads

Package Source nnNorm_2.29.0.tar.gz
Windows Binary nnNorm_2.29.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) nnNorm_2.29.0.tgz
Mac OS X 10.9 (Mavericks)
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