Clust&See：一款用于识别、可视化和操作网络簇的Cytoscape插件。
Clust&See: a Cytoscape plugin for the identification, visualization and manipulation of network clusters.
作者信息
Spinelli Lionel, Gambette Philippe, Chapple Charles E, Robisson Benoît, Baudot Anaïs, Garreta Henri, Tichit Laurent, Guénoche Alain, Brun Christine
机构信息
Institut de Mathématiques de Luminy, CNRS - FRE3529, Avenue de Luminy, 13288 Marseille Cedex 9, France.
出版信息
Biosystems. 2013 Aug;113(2):91-5. doi: 10.1016/j.biosystems.2013.05.010. Epub 2013 Jun 3.
BACKGROUND AND SCOPE
Large networks, such as protein interaction networks, are extremely difficult to analyze as a whole. We developed Clust&See, a Cytoscape plugin dedicated to the identification, visualization and analysis of clusters extracted from such networks.
IMPLEMENTATION AND PERFORMANCE
Clust&See provides the ability to apply three different, recently developed graph clustering algorithms to networks and to visualize: (i) the obtained partition as a quotient graph in which nodes correspond to clusters and (ii) the obtained clusters as their corresponding subnetworks. Importantly, tools for investigating the relationships between clusters and vertices as well as their organization within the whole graph are supplied.
背景与范围
大型网络，如蛋白质相互作用网络，作为一个整体进行分析极其困难。我们开发了Clust&See，这是一款Cytoscape插件，专门用于识别、可视化和分析从此类网络中提取的聚类。
实现与性能
Clust&See能够将三种不同的、最近开发的图聚类算法应用于网络，并进行可视化：(i) 将获得的划分作为商图进行可视化，其中节点对应于聚类；(ii) 将获得的聚类作为其相应的子网络进行可视化。重要的是，还提供了用于研究聚类与顶点之间的关系以及它们在整个图中的组织方式的工具。
Zotero 插件