Abstract
This paper proposes an novel approach for automatic gridding of cDNA microarray images based on histogram representation. The approach constructs histogram representation to characterize microarray images and use it, instead of raw signal intensities used in previous gridding methods, to identify spots. The histogram representation can efficiently reduce noise and the influence from low raw signal intensities and local contaminations. The proposed approach is successfully tested on different types of microarray images and is compared with several previous algorithms.
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Wang, HQ., Wong, HS., Zhu, H. (2007). Constructing the Histogram Representation for Automatic Gridding of cDNA Microarray Images. In: Zhang, D. (eds) Medical Biometrics. ICMB 2008. Lecture Notes in Computer Science, vol 4901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77413-6_32
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DOI: https://doi.org/10.1007/978-3-540-77413-6_32
Publisher Name: Springer, Berlin, Heidelberg
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