Abstract
Microarray is a technology which allows biologists to potentially monitor the activity of all the genes of an organism. Microarrays, widely recognized as the next revolution in molecular biology, enables scientists to analyze genes, proteins and other biological molecules on a genomic scale. Image processing is the first step in knowledge discovery from the microarray. The process of extracting features consists of three stages: gridding, segmentation and quantification. Gridding is to assign each spot with individual coordinates. This paper presents a fully automatic grid configuration algorithm for detecting the microarray image spots as input, and makes no assumptions about the size of the spots, and number of rows and columns in the grid. The approach is based on the detection of an optimum sub image. This method is capable of processing the image automatically and does not demand any input parameters. Experimental result shows that this method is highly efficient method of gridding that uses intensity projection profile.
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Srimani, P.K., Mahesh, S. (2014). An Effective Automated Method for the Detection of Grids in DNA Microarray. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II. Advances in Intelligent Systems and Computing, vol 249. Springer, Cham. https://doi.org/10.1007/978-3-319-03095-1_47
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DOI: https://doi.org/10.1007/978-3-319-03095-1_47
Publisher Name: Springer, Cham
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