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Segmentation of cDNA Microarray Images using Parallel Spectral Clustering

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Author(s): Sandrine MOUYSSET | Ronan GUIVARCH | Joseph NOAILLES | Daniel RUIZ

Journal: ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal
ISSN 2255-2863

Volume: 1;
Issue: 4;
Start page: 1;
Date: 2013;
Original page

Keywords: Spectral Clustering | Domain Decomposition | Image Segmentation | Microarray Image

ABSTRACT
Microarray technology generates large amounts of expression level of genes to be analyzed simultaneously. This analysis implies microarray image segmentation to extract the quantitative information from spots. Spectral clustering is one of the most relevant unsupervised methods able to gather data without a priori information on shapes or locality. We propose and test on microarray images a parallel strategy for the Spectral Clustering method based on domain decomposition with a criterion to determine the number of clusters.
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