Azuaje Francisco, Bodenreider Olivier
University of Ulster at Jordanstown, UK.
National Library of Medicine, Bethesda, USA.
BIBE 2004. 2004 May;2004:317-324. doi: 10.1109/BIBE.2004.1317360.
This research explores the feasibility of semantic similarity approaches to supporting predictive tasks in functional genomics. It aims to establish potential relationships between ontology-based similarity of gene products and important functional properties, such as gene expression correlation. Similarity measures based on the information content of the Gene Ontology (GO) were analyzed. Models have been implemented using data obtained from well-known studies in S. cerevisiae. Results suggest that there may exist significant relationships between gene expression correlation and semantic similarity. Analyses of protein complex data show that, in general, there is a significant correlation between the semantic similarity exhibited by a pair of genes and the probability of finding them in the same complex. These results can also be interpreted as an assessment of the quality and consistency of the information represented in the GO.
本研究探讨了语义相似性方法在功能基因组学中支持预测任务的可行性。其目的是建立基于本体的基因产物相似性与重要功能特性（如基因表达相关性）之间的潜在关系。分析了基于基因本体（GO）信息内容的相似性度量。使用从酿酒酵母的著名研究中获得的数据实现了模型。结果表明，基因表达相关性与语义相似性之间可能存在显著关系。对蛋白质复合物数据的分析表明，一般来说，一对基因表现出的语义相似性与它们在同一复合物中被发现的概率之间存在显著相关性。这些结果也可以解释为对GO中所表示信息的质量和一致性的评估。
