Pattern Classify System for cDNA micro-array
Pattern Classify System for cDNA micro-array
复制标题
cDNA 微阵列模式分类系统
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
K. Sim
中科院分区：
文献类型：
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作者：
Dae;K. Sim
DNA芯片能够利用DNA的互补特征，将包含样本疾病的DNA数据显示给用户。因此本文研究了神经网络算法在DNA芯片图像数据处理中的应用。DNA芯片输出的图像数据的颜色和强度的DNA样品被固定在DNA芯片上，我们可以通过人工神经网络和一些图像处理算法在用户PC环境中对这些图像数据进行模式分类。最终目的是开发模式分类算法，并对该算法进行仿真，从而应用该算法获得患者的疾病信息。即本文研究的人工神经网络算法用于DNA芯片图像数据的模式分类。利用直方图、梯度边缘、人工神经网络和学习算法对DNA芯片图像数据进行模式分析和分类。这样我们就可以监控和模拟这个算法。
DNA Chip is able to show DNA-Data that includes diseases of sample to User by using complementary characters of DNA. So this paper studied Neural Network algorithm for Image data processing of DNA-chip. DNA chip outputs image data of colors and intensities of lights when some sample DNA is putted on DNA-chip, and we can classify pattern of these image data on user pc environment through artificial neural network and some of image processing algorithms. Ultimate aim is developing of pattern classifying algorithm, simulating this algorithm and so getting information of one's diseases through applying this algorithm. Namely, this paper study artificial neural network algorithm for classifying pattern of image data that is obtained from DNA-chip. And, by using histogram, gradient edge, ANN and learning algorithm, we can analyze and classifying pattern of this DNA-chip image data. so we are able to monitor, and simulating this algorithm.