Knowledge guided analysis of microarray data
- 作者：Zhuo Fang ; Jiong Yang ; Yixue Li ; Qingming Luo and Lei Liu
- 刊名：Journal of Biomedical Informatics
- 出版年：2006
- 期刊代码：134_15320464
- 类别：cp
- 出版时间：August 2006
- 卷：39
- 期：4
- 页码：401-411
- 文件大小：529 K
摘要
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this paper, Gene Ontology is introduced to guide the clustering process, and thus a new algorithm capturing both expression pattern similarities and biological function similarities is developed. Our algorithm was validated on two well-known public data sets and the results were compared with some previous works. It is shown that our method has advantages in both the quality of clusters and the precision of biological annotations. Furthermore, the clustering results can be adjusted according to different stringency requirements. It is expected that our algorithm can be extended to other biological knowledge, for example, metabolic networks.