nnNorm 2.56.0 – Spatial and Intensity based Normalization of cDNA Microarray data

nnNorm 2.56.0

:: DESCRIPTION

nnNorm is an algorithm designed to remove intensity and spatial dependent biases from microarray expression data sets. It uses robust neural networks to fit the log-ratios on spatial coordinates and log-average intensity of the cDNA spots.

::DEVELOPER

the Bioinformatics and Computational Biology Unit of the Perinatology Research Branch (NICHD)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOS
  • R package
  • Bioconductor

:: DOWNLOAD

  nnNorm

:: MORE INFORMATION

Citation

Tarca AL, Cooke JE, Mackay J.
A robust neural networks approach for spatial and intensity-dependent normalization of cDNA microarray data.
Bioinformatics 2005;21(11):2674-83.