Knowledge-driven genomic interactions: An application in ovarian cancer

BioData Mining

Volumn 7, Issue 1, 2014, Pages

  Kim, Dokyoon ^a   Li, Ruowang ^a   Dudek, Scott M ^a   Frase, Alex T ^a   Pendergrass, Sarah A ^a   Ritchie, Marylyn D ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Clinical outcome prediction; Grammatical evolution neural network; Integrative analysis; Knowledge driven genomic interaction; Ovarian cancer

Indexed keywords

TUMOR PROTEIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER DIAGNOSIS; CANCER PATIENT; CANCER PROGNOSIS; CANCER STAGING; DISEASE SIMULATION; EXPERT SYSTEM; FEMALE; GENE EXPRESSION; GENETIC ASSOCIATION; GENOMICS; GRAMMATICAL EVOLUTION NEURAL NETWORK; HUMAN; KNOWLEDGE BASE; MAJOR CLINICAL STUDY; OUTCOME ASSESSMENT; OVARY CANCER; PHENOTYPIC VARIATION; PILOT STUDY; PROTEIN FAMILY; PROTEIN INTERACTION; SIGNAL TRANSDUCTION;

EID: 84907058092     PISSN: None     EISSN: 17560381     Source Type: Journal    
DOI: 10.1186/1756-0381-7-20     Document Type: Article

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