用于DNA分析的微阵列图像网格技术研究

Maziidah Mukhtar Ahmad, A. B. Jambek, Mohd Yusoff bin Mashor
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引用次数: 6

摘要

微阵列是生命科学研究人员研究基因表达谱最有前途的工具之一。通过微阵列分析,可以获得基因表达水平,并可以识别疾病的生物学信息。利用图像处理技术提取嵌入芯片中的基因表达信息。网格化是提取DNA微阵列特征的重要方法之一,它通过为微阵列中的每个点分配单独的坐标来进一步解释数据。本文评估了文献中流行的DNA微阵列图像网格化技术,重点是网格化的准确性、速度和去噪能力。根据我们的评估,与本文讨论的其他方法相比,Otsu方法在处理速度、精度和去噪能力方面都能提供更好的性能。
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A study on microarray image gridding techniques for DNA analysis
Microarray is one of the most promising tools available for researchers in the life sciences to study gene expression profiles. Through microarray analysis, gene expression levels can be obtained, and the biological information of a disease can be identified. The gene expression information embedded in the microarray is extracted using image-processing techniques. Gridding is one of the important processes used to extract features in DNA microarray, by assigning each spot in the microarray with individual coordinates for further data interpretation. This paper evaluates popular techniques of DNA microarray image gridding in the literature with an emphasis on gridding accuracy, speed, and the ability to remove noise. Based on our evaluation, the Otsu method can provide a better performance in terms of processing speed, accuracy, and ability to remove noise compared to other methods discussed in this paper.
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