A New RBF Neural Approach for Spot Classification in DNA-Microarray Images

S. Coco, G. Capizzi, A. Laudani, S. Pellegrino, E. Alessi


Spots in DNA-Microarray images exhibit several characteristics able to uniquely identify them for diagnostic purposes. In order to perform efficiently their classification a new tool based on Radial Basis Functions neural networks is presented. Classification is performed according to the following predefined classes: saturated, normal, donut, noisy saturated, noisy gaussian, noisy donut and background. These classes have been selected according to the more frequently observed morphology of spots. The neural system shows very good performance in terms of positive classification in typical DNA-Microarray images.

[DOI: 10.1685/CSC06049] About DOI

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DOI: https://doi.org/10.1685/

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