title: A novel neural network approach to cDNA microarray image segmentation.
abstract: Microarray technology has become a great source of information for biologists to understand the workings of DNA which is one of the most complex codes in nature. Microarray images typically contain several thousands of small spots, each of which represents a different gene in the experiment. One of the key steps in extracting information from a microarray image is the segmentation whose aim is to identify which pixels within an image represent which gene. This task is greatly complicated by noise within the image and a wide degree of variation in the values of the pixels belonging to a typical spot. In the past there have been many methods proposed for the segmentation of microarray image. In this paper, a new method utilizing a series of artificial neural networks, which are based on multi-layer perceptron (MLP) and Kohonen networks, is proposed. The proposed method is applied to a set of real-world cDNA images. Quantitative comparisons between the proposed method and commercial software GenePix(®) are carried out in terms of the peak signal-to-noise ratio (PSNR). This method is shown to not only deliver results comparable and even superior to existing techniques but also have a faster run time.
authors.affiliation: Department of Information Systems and Computing, Brunel University, Uxbridge, Middlesex UB8 3PH, United Kingdom. Zidong.Wang@brunel.ac.uk
authors.forename: Zidong
authors.initials: Z
authors.lastname: Wang
authors.forename: Bachar
authors.initials: B
authors.lastname: Zineddin
authors.forename: Jinling
authors.initials: J
authors.lastname: Liang
authors.forename: Nianyin
authors.initials: N
authors.lastname: Zeng
authors.forename: Yurong
authors.initials: Y
authors.lastname: Li
authors.forename: Min
authors.initials: M
authors.lastname: Du
authors.forename: Jie
authors.initials: J
authors.lastname: Cao
authors.forename: Xiaohui
authors.initials: X
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data; D016571:Neural Networks, Computer; D020411:Oligonucleotide Array Sequence Analysis / Q000706:statistics & numerical data*; D010363:Pattern Recognition, Automated / Q000706:statistics & numerical data; D059629:Signal-To-Noise Ratio; D012984:Software