Binning somatic mutations based on biological knowledge for predicting survival: An application in renal cell carcinoma

Pacific Symposium on Biocomputing

Volumn , Issue , 2015, Pages 96-107

  Kim, Dokyoon ^a   Li, Ruowang ^a   Dudek, Scott M ^a   Wallace, John R ^a   Ritchie, Marylyn D ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Pathway; Renal cell carcinoma; Somatic mutation; Somatic mutation burden; Survival analysis

Indexed keywords

GENE EXPRESSION; RNA;

GENOME SEQUENCING; GENOMIC ALTERATIONS; PATHWAY; QUANTITATIVE VALUES; REGULATORY REGIONS; RENAL CELL CARCINOMA; SOMATIC MUTATION; SURVIVAL ANALYSIS;

DISEASES;

TUMOR MARKER;

ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BIOLOGY; GENETIC DATABASE; GENETICS; HUMAN; KIDNEY CARCINOMA; KIDNEY TUMOR; MORTALITY; MUTATION; PROGNOSIS; SURVIVAL ANALYSIS;

BIOMARKERS, TUMOR; CARCINOMA, RENAL CELL; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; HUMANS; KIDNEY NEOPLASMS; MODELS, GENETIC; MUTATION; NEURAL NETWORKS (COMPUTER); PROGNOSIS; SURVIVAL ANALYSIS;

EID: 84971280242     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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