现代电子技术2012，Vol.35Issue(6)：78-82,5.
相似性度量在基因表达聚类分析中的应用研究
Application of similarity measurement in gene expression clustering analysis
孙杰 1吴陈1
作者信息
- 1. 江苏科技大学计算机科学与工程学院,江苏镇江212003
- 折叠
摘要
Abstract
With the rapid development of DNA microarray technology, mass gene expression data are generated. The basic starting point of clustering analysis algorithm which is one of the major technologies in analyzing gene expression data is to divide the objects into different classes according to their similarity. The selection of appropriate similarity measurement criteria is a key to obtain the effective clustering results. In this paper, the pre-treated gene data sets are adopted to conduct the clustering analysis of the different clustering algorithms under different similarity measurement criterions and achieve the evaluation of clustering results. The defects of the algorithm itself and limitation of the distance similarity measurement are the factors affecting the outcome evaluation. Correlation clustering algorithms are improved and the proportion similarity measurement criteria is proposed to obtain more effective clustering effect.关键词
DNA微阵列/聚类分析/相似性度量/基因表达Key words
DNA microarray/clustering analysis/similarity measurement/gene expression分类
信息技术与安全科学引用本文复制引用
孙杰,吴陈..相似性度量在基因表达聚类分析中的应用研究[J].现代电子技术,2012,35(6):78-82,5.
