Study on network motifs in metabolic networks = 대사 네트워크의 네트워크 모티프에 관한 연구

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dc.contributor.advisorJeong, Ha-Woong-
dc.contributor.advisor정하웅-
dc.contributor.authorEom, Young-Ho-
dc.contributor.author엄영호-
dc.date.accessioned2011-12-14T07:57:50Z-
dc.date.available2011-12-14T07:57:50Z-
dc.date.issued2004-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=237789&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/48657-
dc.description학위논문(석사) - 한국과학기술원 : 물리학과, 2004.2, [ v, 18 p. ]-
dc.description.abstractLocal structure of complex network is one of most important characteristic to understand dynamic properties of complex networks. Recently, network motifs, subgraph patterns occurring in complex networks at numbers significantly higher than those in suitable randomized networks have received a lot of attention especially in biological systems. We found such motifs in metabolic networks of 43 organisms and using clustering method, we categorized 43 organisms based on subgraph pattern statistics and found tendency to find common substrates in cohesive subgraph patterns.eng
dc.languageeng-
dc.publisher한국과학기술원-
dc.subject네트워크 모티프-
dc.subject복잡계 네트워크-
dc.subjectnetwork motif-
dc.subjectcomplex network-
dc.titleStudy on network motifs in metabolic networks = 대사 네트워크의 네트워크 모티프에 관한 연구-
dc.typeThesis(Master)-
dc.identifier.CNRN237789/325007 -
dc.description.department한국과학기술원 : 물리학과, -
dc.identifier.uid020023353-
dc.contributor.localauthorEom, Young-Ho-
dc.contributor.localauthor엄영호-
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PH-Theses_Master(석사논문)
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