利用基因芯片技术筛选差异表达基因的方法研究

发布时间：2018-03-09 11:23

本文选题：基因芯片　切入点：基因表达谱数据　出处：《数学的实践与认识》2017年06期 　论文类型：期刊论文

【摘要】：为了探讨高维基因芯片基因表达谱数据筛选差异表达基因的方法,分析比较t检验法、秩和检验法、BON法、SIDAK法及ALSU法5种算法的差异表达基因筛选效率;采用模拟实验对t检验法、ALSU法等5种算法进行比较,并使用第一类、第二类错误率、总体错误率、筛选差异表达基因数及其均方根误差等5种指标进行评价;t检验法、秩和检验法计算结果过于灵敏,筛选差异表达基因个数较多,会促使筛选差异表达基因中假阴性事件的发生,BON法、SIDAK法筛选结果过于保守,筛选的差异表达基因个数较少,假阳性事件发生率较为显著,ALSU法能较稳定的抑制第一、二类错误率的发生,同时ALSU法筛选结果受系统扰动误差影响较笺LSU方法能够稳定的、高效的筛选差异表达基因,在使用高纬基因表达谱数据筛选差异表达基因时应首选ALSU法.
[Abstract]:In order to study the methods of screening differentially expressed genes by using high dimensional gene microarray gene expression profile data, the screening efficiency of differential expression genes was analyzed and compared among t test method, rank sum test method and SIDAK method and ALSU method. Five algorithms, such as t test method and ALSU method, were compared with each other by simulation experiments. The first type, the second type error rate, the total error rate, the number of differentially expressed genes and their root-mean-square error were used to evaluate t test method. The results of rank sum test were too sensitive and the number of differentially expressed genes was more, which would promote the occurrence of false negative events in the screening of differentially expressed genes and the SIDAK method was too conservative, and the number of differentially expressed genes was less. The incidence of false positive events was more significant. ALSU method could stably inhibit the occurrence of the first and second class error rates. Meanwhile, the screening results of ALSU method were more stable and efficient than those of LSU method in screening differentially expressed genes, which were influenced by systematic disturbance error. ALSU method should be used to screen differentially expressed genes using high latitude gene expression profile data.
【作者单位】：南京医科大学附属南京医院医疗设备处;青岛理工大学土木工程系;南京医科大学数学与计算机系;南京医科大学生物医学工程系;
【基金】：南京医科大学科技发展基金面上项目(2014NJMU035)
【分类号】：R440

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