期刊
BMC SYSTEMS BIOLOGY
卷 8, 期 -, 页码 -出版社
BMC
DOI: 10.1186/1752-0509-8-S5-S8
关键词
-
资金
- U.S. Department of Energy [DE-FG02-91ER20021]
- National High Technology Research and Development Program of China [2012AA020404, 2012AA02A602]
- National Natural Science Foundation of China [61173085]
Background: Gene Ontology (GO) provides rich information and a convenient way to study gene functional similarity, which has been successfully used in various applications. However, the existing GO based similarity measurements have limited functions for only a subset of GO information is considered in each measure. An appropriate integration of the existing measures to take into account more information in GO is demanding. Results: We propose a novel integrative measure called InteGO2 to automatically select appropriate seed measures and then to integrate them using a metaheuristic search method. The experiment results show that InteGO2 significantly improves the performance of gene similarity in human, Arabidopsis and yeast on both molecular function and biological process GO categories. Conclusions: InteGO2 computes gene-to-gene similarities more accurately than tested existing measures and has high robustness.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据