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UFO: A tool for unifying biomedical ontology-based semantic similarity calculation, enrichment analysis and visualization

机译:UFO:一种统一生物医学本体的语义相似性计算,浓缩分析和可视化的工具

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摘要

BackgroundBiomedical ontologies have been growing quickly and proven to be useful in many biomedical applications. Important applications of those data include estimating the functional similarity between ontology terms and between annotated biomedical entities, analyzing enrichment for a set of biomedical entities. Many semantic similarity calculation and enrichment analysis methods have been proposed for such applications. Also, a number of tools implementing the methods have been developed on different platforms. However, these tools have implemented a small number of the semantic similarity calculation and enrichment analysis methods for a certain type of biomedical ontology. Note that the methods can be applied to all types of biomedical ontologies. More importantly, each method can be dominant in different applications; thus, users have more choice with more number of methods implemented in tools. Also, more functions would facilitate their task with ontology.ResultsIn this study, we developed a Cytoscape app, named UFO, which unifies most of the semantic similarity measures for between-term and between-entity similarity calculation for all types of biomedical ontologies in OBO format. Based on the similarity calculation, UFO can calculate the similarity between two sets of entities and weigh imported entity networks as well as generate functional similarity networks. Besides, it can perform enrichment analysis of a set of entities by different methods. Moreover, UFO can visualize structural relationships between ontology terms, annotating relationships between entities and terms, and functional similarity between entities. Finally, we demonstrated the ability of UFO through some case studies on finding the best semantic similarity measures for assessing the similarity between human disease phenotypes, constructing biomedical entity functional similarity networks for predicting disease-associated biomarkers, and performing enrichment analysis on a set of similar phenotypes.ConclusionsTaken together, UFO is expected to be a tool where biomedical ontologies can be exploited for various biomedical applications.AvailabilityUFO is distributed as a Cytoscape app, and can be downloaded freely at Cytoscape App (http://apps.cytoscape.org/apps/ufo) for non-commercial use.
机译:BackgroundBiomedical本体已经迅速增长,并证明在许多生物医学应用。那些数据的重要应用包括估计本体术语之间和注释的生物医学实体之间的功能相似性,对于一组生物医学实体的分析富集。许多语义相似度计算和富集分析方法已经被提出了这样的应用。此外,一些实现方法工具已经开发不同的平台上。然而,这些工具已经实现了少量的语义相似度计算和富集分析方法对特定类型的生物医学本体。请注意,这些方法可以适用于所有类型的生物医学本体。更重要的是,每一个方法可以在不同的应用中占主导地位;因此,用户有更多数量的工具实现的方法更多的选择。此外,更多的功能将有助于他们与ontology.ResultsIn这项研究任务,我们开发了Cytoscape的应用程序,命名为UFO,它统一的语义相似措施实体之间长期间和相似度计算对所有类型的生物医学OBO本体的最格式。基于该相似度计算,UFO可以计算两组实体之间的相似性和称重进口实体网络以及生成功能相似的网络。此外,它可以执行不同的方法一组实体的富集分析。此外,UFO可以可视化本体术语之间的结构关系,实体注释和术语,和实体之间的功能相似性之间的关系。最后,我们通过上找到最佳的语义相似性措施在一组类似的评估人类疾病表型之间的相似性,预测疾病相关的生物标志物构建生物医学实体功能相似的网络,并进行富集分析一些案例研究证明UFO的能力phenotypes.ConclusionsTaken一起,UFO预计是一个工具,其中的生物医学本体,可被利用于各种生物医学applications.AvailabilityUFO分布作为Cytoscape的应用程序,并且可以在应用程序的Cytoscape(http://apps.cytoscape.org/自由下载应用程序/ UFO)用于非商业用途。

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    Duc-Hau Le;

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