A hill-climbing approach for automatic gridding of cDNA microarray images

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 3, Issue 1, 2006, Pages 72-83

  Rueda, Luis ^a,c,d,e   Vidyadharan, Vidya ^b  

^a UNIVERSITY OF CONCEPCIÓN   (Chile)

^b Quadrant Subscription Services   (United Kingdom)

^c IEEE   (Chile)

^d Pattern Recognition Society   (Chile)

^e IAPR ^*  (Chile)

Author keywords

cDNA Microarrays; Gene expression; Gridding; Hill climbing

Indexed keywords

AUTOMATIC GRINDING; CDNA MICROARRAYS; GENE EXPRESSIONS;

BOUNDARY CONDITIONS; DATA ACQUISITION; DATABASE SYSTEMS; IMAGE ANALYSIS; PROBLEM SOLVING; STATISTICAL METHODS;

DNA;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DNA MICROARRAY; EVALUATION; FLUORESCENCE IN SITU HYBRIDIZATION; FLUORESCENCE MICROSCOPY; GENE EXPRESSION PROFILING; MATHEMATICAL COMPUTING; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; GENE EXPRESSION PROFILING; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IN SITU HYBRIDIZATION, FLUORESCENCE; MICROSCOPY, FLUORESCENCE; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33144475033     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2006.3     Document Type: Article

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