An automated method for gridding in microarray images (Journal article)

Giannakeas, N./ Fotiadis, D. I./ Politou, A. S.

Microarray technology is a powerful tool for analyzing the expression of a large number of genes in parallel. A typical microarray image consists of a few thousands of spots which determine the level of gene expression in the sample. In this paper we propose a method which automatically addresses each spot area in the image. Initially, a preliminary segmentation of the image is produced using a template matching algorithm. Next, grid and spot finding are realized. The position of non-expressed spots is located and finally a Voronoi diagram is employed to fit the grid on the image. Our method has been evaluated in a set of five images consisting of 45960 spots, from the Stanford microarray database and the reported accuracy for spot detection was 93%
Institution and School/Department of submitter: Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής
Keywords: Algorithms,Computational Biology/*methods,Databases, Genetic,Image Interpretation, Computer-Assisted,Models, Genetic,Models, Statistical,Numerical Analysis, Computer-Assisted,Oligonucleotide Array Sequence Analysis/*instrumentation/methods,*Pattern Recognition, Automated,Reproducibility of Results,*Sequence Analysis, DNA,Software
ISSN: 1557-170X
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά)

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