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Ensemble methods for biclustering tasks

delete2012-11-01
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PRE
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Blaise Hanczar *
M
Mohamed Nadif
DOI:10.1016/j.patcog.2012.04.010delete
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Abstract

Abstract

En 中文
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. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords:
Co-clustering
Ensemble methods
Microarray data
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Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

U
Universite Paris Cite
Scholars:
8.9W
Papers: 6.3W
Citations: 604
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