Constructing the histogram representation for automatic gridding of cDNA microarray images

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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. ©Springer-Verlag Berlin Heidelberg 2007.

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APA

Wang, H. Q., Wong, H. S., & Zhu, H. (2008). Constructing the histogram representation for automatic gridding of cDNA microarray images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4901 LNCS, pp. 248–255). https://doi.org/10.1007/978-3-540-77413-6_32

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