Major copy proportion analysis of tumor samples using SNP arrays

BMC Bioinformatics

Volumn 9, Issue , 2008, Pages

  Li, Cheng ^a   Beroukhim, Rameen ^b,c   Weir, Barbara A ^b,c   Winckler, Wendy ^b,c   Garraway, Levi A ^b,c   Sellers, William R ^d   Meyerson, Matthew ^b,c  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^d NOVARTIS INSTITUTES FOR BIOMEDICAL RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER GENOMICS; COPY NUMBER; GENETIC VARIATION; HIGH-THROUGHPUT; HUMAN GENOMES; SINGLE NUCLEOTIDE POLYMORPHISMS; TUMOR SAMPLES; VISUALIZATION METHOD;

DNA SEQUENCES; GENES; HIDDEN MARKOV MODELS; OLIGONUCLEOTIDES;

TUMORS;

OLIGONUCLEOTIDE; DNA;

ALLELIC IMBALANCE; ARTICLE; CHROMOSOME PAIRING; CLINICAL EFFECTIVENESS; CONTROLLED STUDY; GENE NUMBER; GENETIC DATABASE; HETEROZYGOSITY LOSS; HETEROZYGOTE DETECTION; HIDDEN MARKOV MODEL; HUMAN; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MAJOR COPY PROPORTION ANALYSIS; MICROARRAY ANALYSIS; SAMPLING; SINGLE NUCLEOTIDE POLYMORPHISM; ALGORITHM; DNA MICROARRAY; GENE DOSAGE; GENETIC VARIABILITY; GENETICS; METHODOLOGY; MOLECULAR GENETICS; NUCLEOTIDE SEQUENCE; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BASE SEQUENCE; DNA, NEOPLASM; GENE DOSAGE; HUMANS; MOLECULAR SEQUENCE DATA; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; SENSITIVITY AND SPECIFICITY; VARIATION (GENETICS);

EID: 43449135901     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-9-204     Document Type: Article

References (41)