Guo Xiang, Shriver Craig D, Hu Hai, Liebman Michael N
Windber Research Institute, Windber, PA, USA.
AMIA Annu Symp Proc. 2005;2005:972.
This study investigates the feasibility of applying Gene Ontology (GO)-derived semantic similarity methods to the biological pathway analysis. The results derived from the analysis of human metabolic and regulatory pathways are consistent with the network biology. It suggests that the semantic similarity measurement may be used to help the pathway modeling.
本研究调查了将基因本体论(GO)衍生的语义相似性方法应用于生物途径分析的可行性。从人类代谢和调节途径分析中得出的结果与网络生物学一致。这表明语义相似性测量可用于辅助途径建模。