Incorporating Ontology-Driven Similarity Knowledge into Functional Genomics: An Exploratory Study.

Francisco Azuaje, Olivier Bodenreider
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Abstract

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.

将本体驱动的相似性知识纳入功能基因组学:一项探索性研究。
本研究探讨了语义相似方法在功能基因组学中支持预测任务的可行性。它旨在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)信息含量的相似性度量。模型使用了从酿酒葡萄球菌的知名研究中获得的数据。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。对蛋白质复合体数据的分析表明,一般来说,一对基因所表现出的语义相似性与在同一复合体中发现它们的概率之间存在显著的相关性。这些结果也可以被解释为对GO中所代表信息的质量和一致性的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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