摘要
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. %26lt;br%26gt;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. %26lt;br%26gt;Conclusions: InteGO2 computes gene-to-gene similarities more accurately than tested existing measures and has high robustness.
- 出版日期2014-12-12
- 单位哈尔滨工业大学