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Clustering Incorporating Shortest Paths Identifies Relevant Modules in Functional Interaction Networks

机译：包含最短路径的聚类识别功能交互网络中的相关模块

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Jennifer Hallinan; Matthew Pocock; Stephen Addinall; David A Lydall; Anil Wipat;
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年度 2015
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1. Identifying functional modules in interaction networks through overlapping Markov clustering [J] . Shih Yu-Keng, Parthasarathy Srinivasan Bioinformatics . 2012 ,第18期

机译：通过重叠马尔可夫聚类识别交互网络中的功能模块
2. Identifying functional modules in interaction networks through overlapping Markov clustering [J] . Yu-Keng Shih and Srinivasan Parthasarathy* Bioinformatics . 2012 ,第18期

机译：通过重叠马尔可夫聚类识别交互网络中的功能模块
3. A Markov Clustering Based Link Clustering Method to Identify Overlapping Modules in Protein-Protein Interaction Networks [J] . Wang Yan, Wang Guishen, Meng Di, Current Bioinformatics . 2016 ,第2期

机译：基于Markov聚类的链接聚类方法识别蛋白质-蛋白质相互作用网络中的重叠模块
4. Clustering incorporating shortest paths identifies relevant modules in functional interaction networks [C] . Hallinan J., Pocock M., Addinall S., Computational Intelligence in Bioinformatics and Computational Biology, 2009. CIBCB '09 . 2009

机译：包含最短路径的聚类可识别功能交互网络中的相关模块
5. FAC-PIN: An efficient and fast agglomerative clustering algorithm for protein interaction networks to predict protein complexes and functional modules. [D] . Rahman, Mohammad Shamsur. 2013

机译：FAC-PIN：一种高效且快速的聚集聚类算法，用于蛋白质相互作用网络来预测蛋白质复合物和功能模块。
6. Identifying functional modules in interaction networks through overlapping Markov clustering [O] . Yu-Keng Shih, Srinivasan Parthasarathy -1

机译：通过重叠马尔可夫聚类识别交互网络中的功能模块
7. A Comparison of the Cluster-Span Threshold and the Union of Shortest Paths as Objective Thresholds of EEG Functional Connectivity Networks from Beta Activity in Alzhaimer’s Disease [O] . Smith K, Abasolo Daniel Emilio, Escudero J 2016

机译：从阿尔茨海默病中的β活性比较跨度跨度阈值和最短路径联合作为EEG功能连接网络的客观阈值

Clustering Incorporating Shortest Paths Identifies Relevant Modules in Functional Interaction Networks

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