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Segmentation of cDNA microarray images using parallel spectral clustering

Mouysset, Sandrine and Guivarch, Ronan and Noailles, Joseph and Ruiz, Daniel Segmentation of cDNA microarray images using parallel spectral clustering. (2013) Advances in Distributed Computing and Artificial Intelligence Journal, 2 (13). 1-8. ISSN 2255-2863

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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.

Item Type:Article
Additional Information:Thanks to Ediciones Universidad de Salamanca editor. The definitive version is available at http://campus.usal.es The original PDF of the article can be found at Advances in Distributed Computing and Artificial Intelligence Journal website : http://www.XXXX The http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/9890/10257 ; CC BY : http://creativecommons.org/licenses/by/3.0/
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:12 Mar 2015 11:24

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