Assessing network characteristics of cancer associated genes in metabolic and signaling networks

2012 IEEE Symposium on Computational Intelligence and Computational Biology, CIBCB 2012

Volumn , Issue , 2012, Pages 290-297

  Petrochilos, Deanna ^a   Abernethy, Neil ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

gene expression analysis; graph theory; metabolic networks; signaling networks

Indexed keywords

CANCER GENES; CENTRALITY MEASURES; CLUSTERING COEFFICIENT; COMPLEX INTERACTION; DISEASE GENES; DISEASE STATE; EXPERIMENTAL METHODS; GENE EXPRESSION ANALYSIS; GENERALIZED LINEAR MODEL; GRAPH-THEORETIC METHODS; HIGH-THROUGHPUT; METABOLIC NETWORK; NETWORK CHARACTERISTICS; NETWORK PROPERTIES; NETWORK-BASED; PATHWAY INTERACTIONS; PREDICTIVE POWER; RANDOM WALK ALGORITHMS; SIGNAL TRANSDUCTION PATHWAYS; SIGNALING NETWORKS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; DISEASES; GENE EXPRESSION; GRAPH THEORY; SIGNAL TRANSDUCTION; SIGNALING;

METABOLISM;

EID: 84864068713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2012.6217243     Document Type: Conference Paper

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