Modular organization of cancer signaling networks is associated with patient survivability

BioSystems

Volumn 113, Issue 3, 2013, Pages 149-154

  Takemoto, Kazuhiro ^a   Kihara, Kaori ^a  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Cancer; Evolvability; Modularity; Networkanalysis; Robustness

Indexed keywords

CANCER; DATA SET; DATABASE; ENVIRONMENTAL CHANGE; HETEROGENEITY; MOLECULAR ANALYSIS; NETWORK ANALYSIS; PREDICTION; SIGNALING; SURVIVAL;

ARTICLE; CANCER CELL; CANCER SURVIVAL; CORRELATION COEFFICIENT; DATA ANALYSIS; ENTROPY; HUMAN; HYPOTHESIS; MODULARITY ROBUSTNESS HYPOTHESIS; NEOPLASM; PREDICTION; PROSTATE CANCER; REFERENCE DATABASE; SIGNAL TRANSDUCTION; SURVIVAL RATE;

EID: 84880606252     PISSN: 03032647     EISSN: 18728324     Source Type: Journal    
DOI: 10.1016/j.biosystems.2013.06.003     Document Type: Article

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