A NOVEL ALGORITHM FOR GENERATING SIMULATED GENETIC DATA BASED ON K-MEDOIDS

摘要：

　　Genetic data is very important for biological research,but it is hard to be obtained by experiment.In this paper,we introduce an algorithm for generating simulated genetic data based on K-mediods.A concept of Cluster Channel is proposed in this algorithm and used to generate simulated data.The noise of origin data could be eliminated using the proposed method.The experimental results show reliability of simulated genetic data.SAM is used to analyze the simulated data and original data,and we get a conclusion that the simulated data can effectively validate differentially expressed gene detected algorithm.

关键词： Genetic data Simulated genetic data K-medoids Cluster channel

作者: Jianan Wu Chunguang Zhou Zhangxu Li Xuefei Xia Seng Zhang You Zhou

作者单位: College of Computer Science and Technology,Jilin University,Changchun 130012,China;College of Comput College of Computer Science and Technology,Jilin University,Changchun 130012,China College of Jilin Communications Polytechnic,Changchun 130012,China College of Computer Science and Technology,Changchun University,Changchun 130012,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 29-32

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）