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Screening of Pathological Gene in Breast Cancer Based on Logistic Regression

机译:基于逻辑回归的乳腺癌病理基因筛查

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Breast cancer has become the focus of the pathological gene screening research. In this paper, logistic regression and multiple hypothesis testing are used to screen the pathological gene based on the existing breast cancer genetic data. Then referencing the confidence level, the p-value of logistic regression is used to screen the pathological gene initially. Furthermore, by considering the Type I error, the multiple hypothesis testing is used to make the result accurate. In addition, SVM is used to test the reliability of this paper's methods. In order to illustrate the feasibility of this method, each gene which screened by this method is tested and verified by the literature of breast cancer.
机译:乳腺癌已成为病理基因筛查研究的重点。在本文中,逻辑回归和多假设检测用于筛查基于现有乳腺癌遗传数据的病理基因。然后参考置信水平,使用逻辑回归的p值最初用于筛选病理基因。此外,通过考虑I型错误,使用多个假设测试来使结果准确。此外,SVM用于测试本文方法的可靠性。为了说明这种方法的可行性,通过乳腺癌的文献测试并验证了通过该方法筛选的每个基因。

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