Statistical segmentation methods for DNA microarray images

Meng Yuan Tsai, Tai Been Chen, Henry Horng Shing Lu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

To be more specific, the segmentation problem is stated mathematically as follows. Suppose yCy5 = (yCy5 ij |i = 1,2, …, m; j = 1,2, …, n) is an integer-valued matrix representing the Cy5 image, and yCy3 = (yCy3 i j |i = 1,2, …, m; j = 1,2, …, n) denote an integer-valued matrix representing the Cy3 image. Each element of an image is a pixel. Assume that k clusters c = (ci|i = 1,2, …, k) are considered, where each cluster represents one category of pixel intensities. In practice, we assume that there are only two clusters, foreground and background, denoted as c1 and c2, respectively. The segmentation problem aims to assign each pixel of yCy5 or yCy3 to one of the classes, c. For example, considering the two-class problem, the result of the segmentation problem will be a binary image z, where the values of the elements in z are either 0 or 1. The binary value represents where each pixel belongs either background or foreground [4, 5].

Original languageEnglish
Title of host publicationMicroarray Image and Data Analysis
Subtitle of host publicationTheory and Practice
PublisherCRC Press
Pages149-170
Number of pages22
ISBN (Electronic)9781466586871
ISBN (Print)9781466586826
DOIs
StatePublished - 1 Jan 2014

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