Evaluating homophily in networks via HONTO (HOmophily Network TOol): a case study of chromosomal interactions in human PPI networks.
Evaluating homophily in networks via HONTO (HOmophily Network TOol): a case study of chromosomal interactions in human PPI networks.
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DOI：
10.1093/bioinformatics/btac763
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发表时间：
2023-01-01
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--
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它在不同类型的网络中被观察到，例如社会或生物网络，这是一种典型的行为，受到“相似性产生联系”的一般原则的启发。这些网络被定义为同质的，因为属于同一类的节点优先彼此交互。在这项工作中，我们提出HONTO（同质网络工具），一个用户友好的开源Python 3包，旨在评估和分析复杂网络中的同质性。该工具从网络沿着将其节点划分为类的输入，并产生一个矩阵，其条目是同质/异质z得分值。为了补充分析，该工具还提供了不与同一类的任何其他节点交互的节点的z得分值。同质性/异质性z分数值以热图的形式呈现，允许对结果进行直观的一目了然的解释。该工具的源代码可以在https://github.com/cumbof/honto上获得，并且可以从PyPI（pip install honto）和conda-forge（conda install -c conda-forge honto）作为一个软件包安装，并且在官方的Galaxy ToolShed（https://toolshed.g2.bx.psu.edu/view/fabio/honto）上提供了一个Galaxy平台的包装器。
It has been observed in different kinds of networks, such as social or biological ones, a typical behavior inspired by the general principle ‘similarity breeds connections’. These networks are defined as homophilic as nodes belonging to the same class preferentially interact with each other. In this work, we present HONTO (HOmophily Network TOol), a user-friendly open-source Python3 package designed to evaluate and analyze homophily in complex networks. The tool takes in input from the network along with a partition of its nodes into classes and yields a matrix whose entries are the homophily/heterophily z-score values. To complement the analysis, the tool also provides z-score values of nodes that do not interact with any other node of the same class. Homophily/heterophily z-scores values are presented as a heatmap allowing a visual at-a-glance interpretation of results. Tool’s source code is available at https://github.com/cumbof/honto under the MIT license, installable as a package from PyPI (pip install honto) and conda-forge (conda install -c conda-forge honto), and has a wrapper for the Galaxy platform available on the official Galaxy ToolShed at https://toolshed.g2.bx.psu.edu/view/fabio/honto.
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影响因子：
3.7
作者：
Santoni, Daniele;Castiglione, Filippo;Paci, Paola
通讯作者：
Paci, Paola
影响因子：
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通讯作者：
Briggs, Peter J.