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Automatic analysis of DNA microarray images using mathematical morphology
Author(s) -
Jesús Angulo,
Jean Serra
Publication year - 2003
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btg057
Subject(s) - mathematical morphology , morphology (biology) , dna , computational biology , computer science , dna microarray , artificial intelligence , pattern recognition (psychology) , biology , image processing , genetics , gene , image (mathematics) , gene expression
DNA microarrays are an experimental technology which consists in arrays of thousands of discrete DNA sequences that are printed on glass microscope slides. Image analysis is an important aspect of microarray experiments. The aim of this step is to reduce an image of spots into a table with a measure of the intensity for each spot. Efficient, accurate and automatic analysis of DNA spot images is essential in order to use this technology in laboratory routines.

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