Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/15663
Title: Mining localized co-expressed gene patterns from microarray data
Authors: JI LIPING
Keywords: Data Mining, Localized Co-expressed Gene Pattern, Frequent Closed Pattern, Frequent Closed Cube, Bicluster, Time-Lagged Cluster
Issue Date: 1-Feb-2007
Source: JI LIPING (2007-02-01). Mining localized co-expressed gene patterns from microarray data. ScholarBank@NUS Repository.
Abstract: Analyzing the microarray data to identify localized co-expressed gene patterns are essential in revealing the gene functions, gene regulations, subtypes of cells, and cellular processes of gene regulation networks. Hence, researchers are recently motivated to mine co-expressed gene patterns from microarray data. This thesis studies both the static and dynamic aspects of localized co-expressed gene patterns and categories the patterns into three types: co-attribute patterns, co-tendency patterns and time-lagged patterns. Designing new algorithms to identify the three types of localized co-expressed gene patterns is the research problem of this thesis. We present in this thesis a series of new algorithms to mine localized co-expressed gene patterns. We conduct experiments on both synthetic and real microarray datasets. Our experiments show the effectiveness and efficiency of our algorithms in mining the localized co-expressed gene patterns. We believe our research in this thesis delivers valuable information and provides excellent tools for bioinformatics research.
URI: http://scholarbank.nus.edu.sg/handle/10635/15663
Appears in Collections:Ph.D Theses (Open)

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