Automatically Locating Spots in DNAMicroarray Image Using Genetic Algorithm without Gridding

A. Sreedevi, D. S. Jangamashetti
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引用次数: 6

Abstract

Microarray technology has made the possibility in analyzing expression profiling, monitoring tens of thousands of genes simultaneously. Microarray image analysis is complicated, time consuming task and requires manual intervention. Gridding of Microarray image is performed before spot segmentation. The spatial non-uniformity of spots results in non-uniform grid alignment, which leads to inconsistency of extracted feature from the spot. This paper presents a novel automatic approach to locate the spots without the formation of grids. An approach using Genetic algorithm is proposed, in which searching for the spots in sub image is done and the relevant information of the spot is extracted. The process is repeated for the entire image. This algorithm is novel as it is independent of the spot size, colour, and location. The code is developed using MATLAB and test is carried on oligonucleotide array. From the results it is observed that even low intensity spots can be determined accurately.
无网格遗传算法在dnamicarray图像中的自动定位
微阵列技术使分析表达谱、同时监测数以万计的基因成为可能。微阵列图像分析是一项复杂、耗时且需要人工干预的任务。在斑点分割之前对微阵列图像进行网格化处理。斑点的空间不均匀性导致了网格对准不均匀,从而导致从斑点中提取的特征不一致。本文提出了一种不需要形成网格的点自动定位方法。提出了一种利用遗传算法在子图像中搜索斑点并提取斑点相关信息的方法。对整个图像重复此过程。该算法新颖,不受斑点大小、颜色和位置的影响。利用MATLAB编写了代码,并在寡核苷酸阵列上进行了测试。从结果可以看出,即使是低强度的斑点也可以准确地确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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