Microarray Image Gridding by Using Self-Organizing Maps

cDNA Microarrays allow experimenters to analyze expression level of thousand of genes in a parallel fashion, originating huge amounts of data, and making necessary to create fully automatic analysis tools. Is this paper is proposed a new analysis model for microarray image gridding, based on self organizing maps. Experimental results suggests that SOMs can be successfully applied to this task and, even more, that its applicability can be extended to other stages of the microarray image analysis.