General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
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    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2009 Vol.1(5): 643-646 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2009.V1.104

Analysis of Microarray Image Spots Intensity: A Comparative Study

M. Anandhavalli, Chandan Mishra, and M. K. Ghose

Abstract—Microarray technology gives rise to a challenge to interpret the meaning of the immense amount of biological information formatted in numerical matrices from the expression levels of thousands of genes, possibly all genes in an organism. To meet this challenge various methods have been developed using both traditional and innovative techniques to extract, analyze and visualize gene expression data generated from DNA Chip. The large amount of information provided by microarray images requires automatic techniques to develop accurate and efficient processing. Each spot in the microarray contains the hybridization level of a single gene. In this paper, the comparative analysis of measurement of intensity of microarray spots using the intensity transformation methods such as gray level, logarithmic, gamma and contrast stretching after cropping a particular section of microarray image is performed, and the numeric data sheet is prepared for these transformations.

Index Terms—DNA Microarray chip, Contrast Stretching, Logarithmic Stretching, Gamma Stretching.

DNA Microarray chip, Contrast Stretching, Logarithmic Stretching, Gamma Stretching.

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Cite:M. Anandhavalli, Chandan Mishra, and M. K. Ghose, "Analysis of Microarray Image Spots Intensity: A Comparative Study," International Journal of Computer Theory and Engineering vol. 1, no. 5, pp. 643-646, 2009.


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