cDNA微阵列图像分析

Ersin Tozduman, S. Albayrak
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引用次数: 0

摘要

cDNA微阵列图像分析近年来变得非常重要,因为它是微阵列表达分析的一部分。在这项工作中,我们提出了一个新的cDNA微阵列图像分析系统。一个cDNA微阵列分析系统主要由三个部分组成,分别是网格划分、分割和信息提取。在网格划分阶段,提出了一种基于数学形态学的自动网格划分方法。对于图像分割,我们分别提出了基于k均值聚类和模糊c均值聚类的两种算法。在最后的信息提取阶段,我们提出的系统使用了一种经典的方法,即局部计算背景值。拟议的制度在发展道路上有开放的部分,目前仍在进行中。
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cDNA microarray image analysis
cDNA microarray image analysis has grown very important these days because of the growing field which it's part of: microarray expression analysis. In this work we propose a new cDNA microarray image analysis system. A cDNA microarray analysis system consists of three main parts which are Gridding, Segmentation and Information Extraction, respectively. In gridding stage we propose a new automated gridding technique which is based on mathematical morphology. For segmentation we propose two different algorithm which are based on K-Means clustering and Fuzzy C-Means clustering respectively. On the final stage, information extraction, our proposed system uses a classical approach which calculates background values locally. The proposed system has open parts in the way of developement and is still being worked on.
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