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A Critical Examination of Complex Network File Formats for Bioinformatics Data Sources

机译:对生物信息学数据源的复杂网络文件格式的批判性检查

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Recent work has demonstrated the effectiveness of using complex networks for studying complex biological interactions. The process often involves conversion of biological data such as gene expressions or biochemical interactions into one of numerous complex network file formats. However, the exact selection of an appropriate file format for a particular dataset often poses a non-trivial decision problem, biologists are non-specialist end-users and find it difficult to select a particular format for data storage and conversion. In this paper, we propose a solution to this problem of the selection of a suitable network format by means of a critical evaluation based on performance analysis of empirical experiments on biological data sets of different sizes. Experimental results substantiate the hypothesis of being extra careful in the selection of a suitable complex network format based primarily on the size of the biological dataset.
机译:最近的工作证明了使用复杂的网络研究复杂的生物相互作用的有效性。该过程通常涉及将诸如基因表达或生化相互作用之类的生物学数据转换成众多复杂的网络文件格式之一。但是,为特定数据集正确选择合适的文件格式通常会带来不小的决策问题,生物学家是非专业的最终用户,并且发现很难为数据存储和转换选择特定的格式。在本文中,我们基于对不同大小的生物数据集进行的经验实验的性能分析的临界评估,提出了一种针对选择合适的网络格式的解决方案。实验结果证实了以下假设:在主要根据生物学数据集的大小选择合适的复杂网络格式时要格外小心。

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