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

关键词：

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.

引用

页码：490 / 505

页数：16

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