Topological motif-based bio-network analysis = 위상학적 모티프 기반 바이오 네트워크 분석

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 360
  • Download : 0
DC FieldValueLanguage
dc.contributor.advisorLee, Doheon-
dc.contributor.authorChoi, Jae-joon-
dc.description학위논문(박사) - 한국과학기술원 : 바이오및뇌공학과, 2017.2,[v, 75 p. :]-
dc.description.abstractRecently, network motif (or graphlet) properties have been widely utilized as important topological features of bio-networks. Network motifs are recurrent and statistically significant partial subgraphs or patterns. In this thesis, we analyzed various bio-networks based on topological property of network motifs. In part I, we developed Typed Network Motif Comparison Algorithm (TNMCA) for repositioning drugs using topological properties of given networks. TNMCA is a powerful inference algorithm for multi-level biomedical interaction data as the algorithm depends on the different types of entities and relations. In part II, we propose a new network model incorporating grouped attachment (GA) and apply it to real-world networks. Corresponding networks generated by GA model showed a higher similarity of motif properties with real-world networks compared to corresponding networks generated by existing network models.-
dc.subjecttopological motif-
dc.subjectnetwork motif-
dc.subjectbio-network analysis-
dc.subjectdrug repositioning-
dc.subjectnetwork model-
dc.subject위상학적 모티프-
dc.subject네트워크 모티프-
dc.subject바이오네트워크 분석-
dc.subject약물 재창출-
dc.subject네트워크 모델-
dc.titleTopological motif-based bio-network analysis = 위상학적 모티프 기반 바이오 네트워크 분석-
dc.description.department한국과학기술원 :바이오및뇌공학과,-
Appears in Collection
Files in This Item
There are no files associated with this item.


  • mendeley


rss_1.0 rss_2.0 atom_1.0