Gene differential expression analysis for leukemia based on relative risk

摘要：

The occurrence and development of tumor is usually caused by gene mutation and abnormal expression, thus, differentially expressed genes associated with tumor provide a significant reference in the process of gene therapy of tumor. In this paper, we propose a gene differential expression analysis method based on relative risk to extract differentially expressed genes. The proposed method was tested in leukemia gene expression data set. The experimental results show that the method can extract significantly differential expression genes related with leukemia, and improve the classification accuracy of three state-of-the-arts of classifiers: C4.5, Naive Bayes and SVM. Furthermore, compared with SAM (Significance Analysis of Microarrays) method, the proposed method is more accurate for classification.

关键词： Relative risk Leukemia Gene differential expression Tumor Gene therapy

作者: Yang Yu Junpeng Zhang Jianfeng He Lei Ma

作者单位: Kunming University of Science and Technology Kunming, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 1745-1749

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）