Mining maximal local conserved gene clusters from microarray data

Yuhai Zhao*, Guoren Wang, G. Yin, Guangyu Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we explore a novel type of gene cluster called local conserved gene cluster or LC-Cluster for short. A gene's expression level is local conserved if it is expressed with the similar abundance only on a subset of conditions instead of on all the conditions. A subset of genes which are simultaneously local conserved across the same subset of samples form an LC-Cluster, where the samples correspond to some phenotype and the genes suggest all candidates related to the phenotype. Two efficient algorithms, namely FALCONER and E-FALCONER, are proposed to mine the complete set of maximal LC-Clusters. The test results from both real and synthetic datasets confirm the effectiveness and efficiency of our approaches.

Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - Second International Conference, ADMA 2006, Proceedings
EditorsXue Li, Osmar R. Zaïane, Zhanhuai Li
PublisherSpringer Verlag
Pages356-363
Number of pages8
ISBN (Print)3540370250, 9783540370253
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2nd International Conference on Advanced Data Mining and Applications, ADMA 2006 - Xi'an, China
Duration: 14 Aug 200616 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4093 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Advanced Data Mining and Applications, ADMA 2006
Country/TerritoryChina
CityXi'an
Period14/08/0616/08/06

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