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Title: Gene expression data analysis
Keywords: Microarray, Gene Expression, Biclustering, Classification, Data Mining, SVM,
Issue Date: 31-Aug-2004
Citation: ZHANG ZONG HONG (2004-08-31). Gene expression data analysis. ScholarBank@NUS Repository.
Abstract: Data mining is the process of analyzing data in a supervised orunsupervised manner to discover useful and interesting informationthat is hidden within the data. Research in genomics is aimed atunderstanding the biological systems, by analyzing their structureas well as their functional behavior.This thesis explore two area, unsupervised mining and supervisedmining with applications in Bioinformatics.In the first part of this thesis, we generalize biclusteringalgorithm for microarray gene expression data. We also improve theimplementation of this framework and design a novel algorithmcalled DBF (Deterministic Biclustering with Frequent patternmining).In the second part of this thesis, we propose a simple yet veryeffective method for gene selection for classification. The methodcan find minimal and optimal subset of genes which can accuratelyclassify gene expression data.
Appears in Collections:Master's Theses (Open)

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