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Microarray image gridding via an evolutionary algorithm

8 years 8 months ago
Microarray image gridding via an evolutionary algorithm
Gridding is the first, essential stage of processing cDNA microarray images. The existing tools for allocating the grid structure in a microarray image often require human intervention which causes variations to the gene expression results. In this paper, an original and fully-automatic approach to gridding microarray images is presented. The proposed approach is based on a Genetic Algorithm which determines parallel and equidistant line-segments constituting the grid structure. Thereafter, a refinement procedure follows which further improves the existing grid structure, by slightly modifying the line-segments. Experiments on 16-bit microarray images have shown that the proposed method is effective as well as noise-resistant. Additionally, it achieves an accuracy of more than 95% and it outperforms existing methods.
Eleni Zacharia, Dimitris Maroulis
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICIP
Authors Eleni Zacharia, Dimitris Maroulis
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