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Mining biological networks to explain and rank hypotheses

机译:挖掘生物网络来解释和排列假设

摘要

An approach is provided to identify important paths in a biological relationship graph for exploration by researchers. In the approach, a biological meaningfulness analysis is performed on the biological relationship graph that has a number of paths through the graph formed by a number of connected nodes. The biological meaningfulness analysis is based on a process similarity calculation of gene ontologies of the nodes in the paths and a contextual similarity calculation of word occurrences from documents in a corpus where a reference to the respective nodes are found. A biological interestingness analysis is also performed on the biological relationship graph. The paths are screened based on the meaningfulness analysis and the interestingness analysis. The screened data is displayed to the user.
机译:提供了一种方法来识别生物学关系图中的重要路径,以供研究人员探索。在该方法中,对生物学关系图执行生物学意义分析,该生物学关系图具有通过由多个连接节点形成的图的多个路径。生物学意义分析是基于路径中节点的本体的过程相似度计算和语料库中单词出现的上下文相似度计算,该文档中找到了对各个节点的引用。在生物学关系图上也进行生物学兴趣分析。基于意义分析和兴趣分析来筛选路径。筛选的数据显示给用户。

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