Combination analysis of transcription factor binding sites by using data-mining = 데이터마이닝 기법을 이용한 전사요소 결합부위 조합 분석

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Previous studies have suggested that the order of and distance between cis-regulatory elements are important for determining gene expression. We proposed a distance-enhanced data-mining technique to identify significant cis-element combinations which have relatively conserved distances among cis-regulatory elements. The cis-regulatory element combinations with conserved distances among cis-regulatory elements are described as cis-regulatory element arrangements in our method. To extract all the frequently occurring cis-element arrangements we use the closed frequent itemset mining technique and clustering algorithms. Then we find significant arrangements based on the expression similarity of genes. When we applied our method to the Saccharomyces cerevisiae, about 3890 arrangements were extracted. Among the 3890 arrangements, 50 arrangements turned out statistically significant. And among 50 significant arrangements, 29 were newly identified significant cis-regulatory element combination.
Advisors
Lee, Do-Heonresearcher이도헌researcher
Description
한국과학기술원 : 바이오시스템학과,
Publisher
한국과학기술원
Issue Date
2005
Identifier
243758/325007  / 020033508
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오시스템학과, 2005.2, [ vi, 33 p. ]

Keywords

transcription factor binding site; DNA motif; data mining; 조합 분석; 데이터마이닝; 전사요소 결합부위; combination analysis

URI
http://hdl.handle.net/10203/27106
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=243758&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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