Predicting disease associations via biological network analysis

BMC Bioinformatics

Volumn 15, Issue 1, 2014, Pages

  Sun, Kai ^a   Gonçalves, Joana P ^a   Larminie, Chris ^b   Pržulj, Nataša ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b GLAXOSMITHKLINE   (United Kingdom)

Author keywords

Disease classification; Graph theory; Network analysis; Protein protein interaction; Topology

Indexed keywords

ELECTRIC NETWORK ANALYSIS; TOPOLOGY;

BIOLOGICAL NETWORKS; DISEASE ASSOCIATIONS; DISEASE CLASSIFICATION; PROTEIN-PROTEIN INTERACTIONS;

GRAPH THEORY;

ARTICLE; DISEASES; GENE ONTOLOGY; GENETIC ASSOCIATION; GENETICS; GENOMICS; HUMAN; MEDLINE; METHODOLOGY; MOLECULAR GENETICS;

DISEASE; GENE ONTOLOGY; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MOLECULAR SEQUENCE ANNOTATION; PUBMED;

EID: 84908086793     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-304     Document Type: Article

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