Probabilistic segmentation and intensity estimation for microarray images

Biostatistics

Volumn 7, Issue 1, 2006, Pages 85-99

  Gottardo, Raphael ^a   Besag, Julian ^a   Stephens, Matthew ^a   Murua, Alejandro ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Bayesian estimation; cDNA microarrays; Expectation maximization; Gene expression; Hierarchical t; Image analysis; Iterated conditional modes; Markov chain Monte Carlo; Markov random fields; Quality measures; Segmentation; Spatial statistics

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; METHODOLOGY; PROBABILITY; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; GENE EXPRESSION PROFILING; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MARKOV CHAINS; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 29344452713     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxi042     Document Type: Article

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