Nonlinear matching measure for the analysis of on-off type microarray image 


Vol. 30,  No. 3, pp. 112-118, Mar.  2005


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  Abstract

In this paper, we propose a new nonlinear matching measure for automatic analysis of the on-off type DNA microarray images in which the hybridized spots are detected by the template matching method. The proposed measure is obtained by binary-thresholding over the whole template region and taking the number of white pixels inside the spotted area. This measure is compared with the normalized covariance in terms of the classification ability of the successfulness of the locating markers. The proposed measure is evaluated for the scanned images of HPV DNA microarrays where the marker locating is a critical issue because of the small number of spots. The targeting spots of HPV DNA chips are designed for genotyping 22 types of the human papilloma virus(HPV). The proposed measure is proven to give more discriminative response reducing the miss cases of the successful marker locating.

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  Cite this article

[IEEE Style]

M. h. Ryu and J. d. Kim, "Nonlinear matching measure for the analysis of on-off type microarray image," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 3, pp. 112-118, 2005. DOI: .

[ACM Style]

Mun ho Ryu and Jong dae Kim. 2005. Nonlinear matching measure for the analysis of on-off type microarray image. The Journal of Korean Institute of Communications and Information Sciences, 30, 3, (2005), 112-118. DOI: .

[KICS Style]

Mun ho Ryu and Jong dae Kim, "Nonlinear matching measure for the analysis of on-off type microarray image," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 3, pp. 112-118, 3. 2005.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880