A segmentation/clustering model for the analysis of array CGH data

Biometrics

Volumn 63, Issue 3, 2007, Pages 758-766

  Picard, F ^a   Robin, S ^a   Lebarbier, E ^a   Daudin, J J ^a  

^a AgroParisTech   (France)

Author keywords

Array CGH; Dynamic programming; EM algorithm; Mixture models; Segmentation

Indexed keywords

DYNAMIC PROGRAMMING; GENES; MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE; SIGNAL PROCESSING; TRELLIS CODES;

ARRAY CGH; CLUSTERING MODEL; CLUSTERING PROBLEMS; COMPARATIVE GENOMIC HYBRIDIZATIONS; COPY NUMBER; EM ALGORITHMS; HOMOGENEOUS REGIONS; MIXTURE MODELING; SEGMENTATION; SEGMENTATION METHODS;

HIDDEN MARKOV MODELS;

ALGORITHM; ARRAY; CHROMOSOME; CLUSTER ANALYSIS; GENOMICS; HYBRIDIZATION; MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; SEGMENTATION; SIGNAL PROCESSING;

ALGORITHM; ARTICLE; CHROMOSOME MAP; CLUSTER ANALYSIS; COMPARATIVE GENOMIC HYBRIDIZATION; DATA ANALYSIS; GENE CLUSTER; GENE NUMBER; GENETIC SELECTION; GENOME ANALYSIS; HYBRID; MAXIMUM LIKELIHOOD METHOD; MICROARRAY ANALYSIS; PARAMETER; PROBABILITY; SIGNAL PROCESSING;

EID: 34548414218     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2006.00729.x     Document Type: Article

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