Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/4733
Title: | A multi-view approach to cDNA micro-array analysis |
Authors: | Zineddin, B Wang, Z Shi, Y Li, Y Du, M Liu, X |
Keywords: | Microarray image processing;ITE;Image transformation engine;Median filter;Top-hat filter;Linear complex diffusion;Adaptive segmentation;Computational biology;cDNA images;Filtering;DNA microarrays |
Issue Date: | 2010 |
Publisher: | Inderscience |
Citation: | International Journal of Computational Biology and Drug Design, 3(2): 91 -111 |
Abstract: | Microarray has emerged as a powerful technology that enables biologists to study thousands of genes simultaneously, therefore, to obtain a better understanding of the gene interaction and regulation mechanisms. This paper is concerned with improving the processes involved in the analysis of microarray image data. The main focus is to clarify an image's feature space in an unsupervised manner. In this paper, the Image Transformation Engine (ITE), combined with different filters, is investigated. The proposed methods are applied to a set of real-world cDNA images. The MatCNN toolbox is used during the segmentation process. Quantitative comparisons between different filters are carried out. It is shown that the CLD filter is the best one to be applied with the ITE. |
Description: | The official published version can be obtained from the link below. |
URI: | http://bura.brunel.ac.uk/handle/2438/4733 |
DOI: | http://dx.doi.org/10.1504/IJCBDD.2010.035237 |
ISSN: | 1756-0756 |
Appears in Collections: | Computer Science Dept of Computer Science Research Papers |
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