Correlating Expression Data with Gene Function Using Gene Ontology

作     者：刘琪 邓勇 王川 石铁流 李亦学 

作者机构：School of Life Science & Biotechnology Shanghai Jiao Tong University Shanghai 200240 China Zhejiang Police Vocational Academy Hangzhou Zhejiang 310018 China Biomformatton Center Shanghat Instttutesfor Btologtcal Sctences Chinese Academy of Sciences Shanghai 200031 China 

出 版 物：《Chinese Journal of Chemistry》 (中国化学（英文版）)

年 卷 期：2006年第24卷第9期

页      面：1247-1254页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 08[工学] 09[农学] 071007[理学-遗传学] 0901[农学-作物学] 0836[工学-生物工程] 090102[农学-作物遗传育种] 

基　　金：Project supported by the Key Program of Basic Research of Science & Technology Commission of Shanghai Municipality (No. 04dz14004) and the Shanghai Natural Science Foundation (No. 03ZR14065). Dedicated to Professor Xikui Jiang on the occasion of his 80th birthday 

主　　题：microarray data gene ontology similarity of expression data function annotation 

摘      要：Clustering is perhaps one of the most widely used tools for microarray data analysis. Proposed roles for genes of unknown function are inferred from clusters of genes similarity expressed across many biological conditions. However, whether function annotation by similarity metrics is reliable or not and to what extent the similarity in gene expression patterns is useful for annotation of gene functions, has not been evaluated. This paper made a comprehensive research on the correlation between the similarity of expression data and of gene functions using Gene Ontology. It has been found that although the similarity in expression patterns and the similarity in gene functions are significantly dependent on each other, this association is rather weak. In addition, among the three categories of Gene Ontology, the similarity of expression data is more useful for cellular component annotation than for biological process and molecular function. The results presented are interesting for the gene functions prediction research area.