A multi-view approach to cDNA micro-array analysis Online publication date: Thu, 16-Sep-2010
by Bachar Zineddin, Zidong Wang, Yong Shi, Yurong Li, Min Du, Xiaohui Liu
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 3, No. 2, 2010
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.
Online publication date: Thu, 16-Sep-2010
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