Bagging for Biclustering: Application to Microarray Data

被引：0
|
作者：
Hanczar, Blaise [1 ]
Nadif, Mohamed [1 ]
机构：
[1] Univ Paris 05, LIPADE, F-75006 Paris, France
来源：
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT I: EUROPEAN CONFERENCE, ECML PKDD 2010 | 2010年 / 6321卷
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D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
One of the major tools of transcriptomics is the biclustering that simultaneously constructs a partition of both examples and genes. Several methods have been proposed for microarray data analysis that enables to identify groups of genes with similar expression pro?les only under a subset of examples. We propose to improve the quality of these biclustering methods by adapting the approach of bagging to biclustering problems. The principle consists in generating a set of biclusters and aggregating the results. Our method has been tested with success on artificial and real datasets.
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页码：490 / 505
页数：16
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