Review on Graph Clustering and Subgraph Similarity Based Analysis of Neurological Disorders.

Thomas, Jaya; Seo, Dongmin; Sael, Lee

Thomas, Jaya; Seo, Dongmin; Sael, Lee.

Affiliation

Thomas J; Department of Computer Science, Stony Brook University, Stony Brook, NY 11794, USA. jaya.thomas@sunykorea.ac.kr.
Seo D; Department of Computer Science, State University New York Korea, Incheon 406-840, Korea. jaya.thomas@sunykorea.ac.kr.
Sael L; Korea Institute of Science and Technology Information, 245 Daehak-ro, Yuseong-gu, Daejeon 34141, Korea. dmseo@kisti.re.kr.

Int J Mol Sci ; 17(6)2016 Jun 01.

Article in En | MEDLINE | ID: mdl-27258269

Subject(s)

Cluster Analysis; Models, Biological; Nervous System Diseases/etiology; Nervous System Diseases/metabolism; Animals; Brain/metabolism; Brain/physiopathology; Computer Simulation; Gene Regulatory Networks; Humans; Metabolic Networks and Pathways; Nerve Net; Nervous System Diseases/pathology; Neural Pathways; Protein Interaction Maps; Signal Transduction

Key words

biological network; functional brain network; graph clustering; graph similarity; multi-layer graphs; neurological disease; structural brain network

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cluster Analysis / Models, Biological / Nervous System Diseases Limits: Animals / Humans Language: En Journal: Int J Mol Sci Year: 2016 Document type: Article Affiliation country: United States

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