Semantic visualization of multifunctional PPI networks by edge coloring = 에지 색을 이용한 다기능 단백질 상호작용 네트워크의 기능 기반 시각화

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Protein-protein interaction (PPI) network data contains interaction among proteins in organisms. PPI networks are used to many cell behavior studies, and visualization of the network is essential for clear and efficient analysis. Gene Ontology (GO) data contains known features of gene products, such as proteins those are represented as nodes in PPI networks. So integrating PPI network data and Gene Ontology information extends the amount of information of nodes while makes more challenging to visualize. In this research, we suggest new method to visualize multifunctional PPI networks built by integrating PPI and GO data, especially using biological process terms. We annotate GO terms to edges by comparing GO annotation terms of two nodes connected by the edges. We visualize functional information from GO data using edge color, differently from previous methods, which visualize the data by modifying visual variables of nodes. In addition, we visualize edge betweenness centrality of edges respectively for functional networks. And we assign similar colors to similar GO term considering semantic similarity among GO terms. This method can visualize multifunctional PPI networks and represents some information of the networks, which other previous methods cannot represent.
Advisors
Lee, Kwanghyungresearcher이광형researcher
Description
한국과학기술원 :바이오및뇌공학과,
Publisher
한국과학기술원
Issue Date
2016
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 바이오및뇌공학과, 2016.8 ,[iv, 43 p. :]

Keywords

multifunctional network visualization; PPI network; Gene Ontology; edge annotation; edge coloring; 대규모 생물 네트워크; 네트워크 시각화; 단백질 네트워크; 유전자 온톨로지; 다기능 네트워크

URI
http://hdl.handle.net/10203/221418
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=663357&flag=dissertation
Appears in Collection
BiS-Theses_Master(석사논문)
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