Ensemble methods for biclustering tasks

Authors:
Blaise Hanczar;Mohamed Nadif
Affiliations:
LIPADE, University Paris Descartes, 45 rue des Saints Pères, 75006 Paris, France;LIPADE, University Paris Descartes, 45 rue des Saints Pères, 75006 Paris, France
Venue:
Pattern Recognition
Year:
2012

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Abstract

Several biclustering algorithms have been proposed in different fields of microarray data analysis. We present a new approach that improves their performance in using the ensemble methods. An ensemble biclustering is considered and formalized by a problem of binary triclustering. We propose a simple and efficient algorithm to solve it. To illustrate the interest of our ensemble approach, numerical experiments are performed on both artificial and real datasets with two biclustering algorithms commonly used in bioinformatics.