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1、西安電子科技大學(xué)碩士學(xué)位論文基于SNP特征的樣本分類姓名:徐曜華申請(qǐng)學(xué)位級(jí)別:碩士專業(yè):計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師:張軍英20100501Abstract Abstract Single Nucleotide Polymorphism (SNP) is a genetic marker which commonly exists in human genome. It is mainly referred to DNA polymorphi

2、sm caused by the single nucleotide variation at genome level. As a genetic marker, SNP is more reliable for disease prediction, diagnosis and cure. So the study of SNP has very important meaning. This paper mainly studie

3、s the classification performance of SNPs and its probabilities of disease-producing. First, we study the performance of SNPs. Next, we study the classification performance of disease probabilities obtained from the model

4、s. This is from the view of model to study the classification. With this aim, three classifiers were introduced which will be used to classify the samples through the SNPs and probabilities. Results from the experiments

5、indicate that SNPs from the models have a best classification performance for the samples; the classification performance of the probabilities abtained from the models is up the accuracy of the probabilities and the tain

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