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.

The nnNorm R package is available from the Bioconductor website here.

Details about the method can be found in the publication below: