A measure of semantic similarity between GO terms based on semantic contributions of their ancestors
It is generally believed that semantic similarity between GO terms is critical in resolving semantic heterogeneousness when integrating heterogeneous biological databases. In this paper, we propose an approach to determine the semantic similarity of two GO terms based on both the locations of these terms in the GO graph and their semantic relations with their ancestor terms. First, we collect all their ancestor terms (including the specific terms) as sets TA and TB respectively. Second, we calculate the intersection of TA and TB, aggregate the largest semantic contribution of each term in the intersection, meanwhile compute the union of TA and TB, aggregate the minimum contribution of each term in the union. The ratio of these two sums is used to be the semantic similarity between the two GO terms, and the outcomes of our method are consistent with human perspectives.
Aie Lian JiFeng Huang
Department of Computer Science and Technology Shanghai Normal University Gunlin lu No.100,Shanghai,200234,China
国际会议
北京
英文
1-4
2009-06-11（万方平台首次上网日期，不代表论文的发表时间）