PICNIC: An algorithm to predict absolute allelic copy number variation with microarray cancer data

Biostatistics

Volumn 11, Issue 1, 2010, Pages 164-175

  Greenman, Chris D ^a   Bignell, Graham ^a   Butler, Adam ^a   Edkins, Sarah ^a   Hinton, Jon ^a   Beare, Dave ^a   Swamy, Sajani ^a   Santarius, Thomas ^a   Chen, Lina ^a   Widaa, Sara ^a   Futreal, P Andy ^a   Stratton, Michael R ^a  

^a WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

Allelic; Cancer; Copy; Number; Somatic; Variation

Indexed keywords

ALGORITHM; ALLELE; ANEUPLOIDY; ARTICLE; BAYES THEOREM; COMPUTER PROGRAM; COPY NUMBER VARIATION; DNA MICROARRAY; EPIDEMIOLOGY; GENETIC SCREENING; GENETICS; GENOTYPE; HETEROZYGOSITY LOSS; HUMAN; INTERNET; METHODOLOGY; NEOPLASM; POLYPLOIDY; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; TUMOR CELL LINE; TUMOR SUPPRESSOR GENE;

ALGORITHMS; ALLELES; ANEUPLOIDY; BAYES THEOREM; BIAS (EPIDEMIOLOGY); CELL LINE, TUMOR; DNA COPY NUMBER VARIATIONS; GENES, TUMOR SUPPRESSOR; GENETIC TESTING; GENOTYPE; HUMANS; INTERNET; LOSS OF HETEROZYGOSITY; MARKOV CHAINS; MODELS, STATISTICAL; NEOPLASMS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; POLYPLOIDY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE;

EID: 72649090466     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxp045     Document Type: Article

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