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HiSCF: leveraging higher-order structures for clustering analysis in biological networks.
Bioinformatics ( IF 5.8 ) Pub Date : 2020-09-15 , DOI: 10.1093/bioinformatics/btaa775
Lun Hu 1, 2 , Jun Zhang 2 , Xiangyu Pan 2 , Hong Yan 3 , Zhu-Hong You 1
Affiliation  

Clustering analysis in a biological network is to group biological entities into functional modules, thus providing valuable insight into the understanding of complex biological systems. Existing clustering techniques make use of lower-order connectivity patterns at the level of individual biological entities and their connections, but few of them can take into account of higher-order connectivity patterns at the level of small network motifs.

中文翻译:

HiSCF:利用高阶结构在生物网络中进行聚类分析。

生物网络中的聚类分析是将生物实体分为功能模块,从而为了解复杂的生物系统提供宝贵的见解。现有的聚类技术在单个生物实体及其连接的级别上使用了低阶连接模式,但是其中很少有人可以在小型网络主题级别上考虑到高阶连接模式。
更新日期:2020-09-16
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