Adjusting for background mutation frequency biases improves the identification of cancer driver genes

IEEE Transactions on Nanobioscience

Volumn 12, Issue 3, 2013, Pages 150-157

  Evans, Perry ^a   Avey, Stefan ^a   Kong, Yong ^a   Krauthammer, Michael ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Cancer; melanoma; sequencing

Indexed keywords

BACKGROUND FREQUENCIES; CANCER; EVALUATION CRITERIA; MELANOMA; MUTATION FREQUENCY; PROTEIN INTERACTION; SEQUENCING; TUMOR DEVELOPMENT;

GENE EXPRESSION; PROTEINS; TUMORS;

DISEASES;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; GENE EXPRESSION PROFILING; GENETICS; HETEROZYGOSITY LOSS; HUMAN; MELANOMA; METABOLISM; METHODOLOGY; MUTATION; MUTATION RATE; RADIATION EXPOSURE; TUMOR CELL CULTURE; TUMOR GENE; ULTRAVIOLET RADIATION; PROCEDURES; RADIATION RESPONSE;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENES, NEOPLASM; HUMANS; LOSS OF HETEROZYGOSITY; MELANOMA; MODELS, GENETIC; MUTATION; MUTATION RATE; TUMOR CELLS, CULTURED; ULTRAVIOLET RAYS;

EID: 84883370080     PISSN: 15361241     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNB.2013.2263391     Document Type: Article

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