nnNorm

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

Bioconductor version: 2.8

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 nnNormGuide.pdf
PDF   Reference Manual

Details

biocViews Microarray, TwoChannel, Preprocessing
Depends R(>= 2.2.0), marray
Imports graphics, grDevices, marray, methods, nnet, stats
Suggests
System Requirements
License LGPL
URL http://bioinformaticsprb.med.wayne.edu/tarca/
Depends On Me
Imports Me
Suggests Me
Version 2.16.0
Since Bioconductor 1.6 (R-2.1) or earlier

Package Downloads

Package Source nnNorm_2.16.0.tar.gz
Windows Binary nnNorm_2.16.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary nnNorm_2.16.0.tgz
Package Downloads Report Download Stats

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