Prediction and Prioritization of Rare Oncogenic Mutations in the Cancer Kinome Using Novel Features and Multiple Classifiers

PLoS Computational Biology

Volumn 10, Issue 4, 2014, Pages

  U, ManChon ^a   Talevich, Eric ^b   Katiyar, Samiksha ^c   Rasheed, Khaled ^a   Kannan, Natarajan ^c,d  

^a University of Georgia ^*  (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c University of Georgia   (United States)

^d UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; CLASSIFICATION (OF INFORMATION); ENZYMES; LEARNING SYSTEMS;

CANCER-ASSOCIATED MUTATIONS; EPIDERMAL GROWTH FACTOR RECEPTORS; FEATURE CLASSIFIERS; GENETIC DISEASE; MULTIPLE CLASSIFIER APPROACH; MULTIPLE-CLASSIFIERS; ONCOGENICS; PERFORMANCE; PRIORITIZATION; RECEPTOR-TYROSINE KINASE;

DISEASES;

EPIDERMAL GROWTH FACTOR RECEPTOR; PROTEIN KINASE;

ARTICLE; CANCER GROWTH; CELL ASSAY; CLASSIFIER; CONTROLLED STUDY; ENZYME ACTIVITY; GENE MUTATION; GENE SEQUENCE; HUMAN; KINOME; MULTIPLE CLASSIFIER; MUTATIONAL ANALYSIS; NEOPLASM; ONCOGENE; PREDICTION; SIGNAL TRANSDUCTION; SINGLE NUCLEOTIDE POLYMORPHISM; ARTIFICIAL INTELLIGENCE; ENZYMOLOGY; GENETICS; METABOLISM; MUTATION;

ARTIFICIAL INTELLIGENCE; HUMANS; MUTATION; NEOPLASMS; ONCOGENES; PROTEIN KINASES;

EID: 84901326332     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003545     Document Type: Article

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