GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers

Genome Biology

Volumn 12, Issue 4, 2011, Pages

  Mermel, Craig H ^a,b   Schumacher, Steven E ^a,b   Hill, Barbara ^a   Meyerson, Matthew L ^a,b   Beroukhim, Rameen ^a,b   Getz, Gad ^a  

^a BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CANCER GROWTH; COMPUTER PROGRAM; COPY NUMBER VARIATION; GENE IDENTIFICATION; GENETIC ANALYSIS; MALIGNANT NEOPLASTIC DISEASE; PROBABILITY; SENSITIVITY AND SPECIFICITY; SINGLE NUCLEOTIDE POLYMORPHISM; TUMOR SUPPRESSOR GENE; VALIDATION STUDY; ALGORITHM; BIOLOGY; COMPUTER SIMULATION; GENE DOSAGE; GENETICS; HUMAN; NEOPLASM; PATHOLOGY; THEORETICAL MODEL;

TUMOR SUPPRESSOR PROTEIN;

ALGORITHMS; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE DOSAGE; HUMANS; MODELS, THEORETICAL; NEOPLASMS; SOFTWARE; TUMOR SUPPRESSOR PROTEINS;

EID: 79955166265     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/gb-2011-12-4-r41     Document Type: Article

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