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

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Local 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.
Advisors
Jeong, Ha-Woongresearcher정하웅researcher
Description
한국과학기술원 : 물리학과,
Publisher
한국과학기술원
Issue Date
2004
Identifier
237789/325007  / 020023353
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 물리학과, 2004.2, [ v, 18 p. ]

Keywords

네트워크 모티프; 복잡계 네트워크; network motif; complex network

URI
http://hdl.handle.net/10203/48657
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=237789&flag=dissertation
Appears in Collection
PH-Theses_Master(석사논문)
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