[1]YIN Ning,LIU Fu,ZHANG Yu.Image analysis of gene chip using minimum error threshold segmentation algorithm[J].CAAI Transactions on Intelligent Systems,2013,8(1):28-32.[doi:10.3969/j.issn.1673-4785.201207015]
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Image analysis of gene chip using minimum error threshold segmentation algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 8 Number of periods: 2013 1 Page number: 28-32 Column: 学术论文—机器学习 Public date: 2013-03-25
Title:
Image analysis of gene chip using minimum error threshold segmentation algorithm
Author(s):
YIN Ning;  LIU Fu;  ZHANG Yu
College of Communication Engineering, Jilin University, Changchun 130025, China
Keywords:
gene chip image;  image analysis;  minimum error threshold segmentation method;  cluster analysis
CLC:
TP391.41
DOI:
10.3969/j.issn.1673-4785.201207015
Abstract:
In order to analyze gene chip image better, along with extract the data information as accurately as possible, to describe the gene sample, this research paper proposes to implement a minimum error threshold segmentation method. Based on the assumption that the distributions of object and background are governed by a mixture normal distribution, this method sets an objective function of minimum error classification. This method also allows for the implementation of the segmentation between gene sample and background image through calculating the optimal segmentation threshold by minimizing the objective function. Next, the feature data from the segment of gene sample image was extracted and a clustering analysis with the data was done to realize the successful classification of the experimental samples. The study examined two groups of gene chip images and analyzed them by using this method in the experiment. The results show that the classification result was better and the feasibility of the analysis method was verified.
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