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This is the development version of nnNorm; for the stable release version, see nnNorm.

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

Bioconductor version: Development (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")):


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

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

nnNorm Tutorial PDF R Script
Reference Manual PDF


biocViews Microarray, Preprocessing, Software, TwoChannel
Version 2.67.0
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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Follow Installation instructions to use this package in your R session.

Source Package nnNorm_2.67.0.tar.gz
Windows Binary nnNorm_2.67.0.zip
macOS Binary (x86_64) nnNorm_2.67.0.tgz
macOS Binary (arm64) nnNorm_2.67.0.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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