Oesper Layla, Merico Daniele, Isserlin Ruth, Bader Gary D
Department of Computer Science, Brown University, Providence, RI, USA.
Source Code Biol Med. 2011 Apr 7;6:7. doi: 10.1186/1751-0473-6-7.
When biological networks are studied, it is common to look for clusters, i.e. sets of nodes that are highly inter-connected. To understand the biological meaning of a cluster, the user usually has to sift through many textual annotations that are associated with biological entities.
The WordCloud Cytoscape plugin generates a visual summary of these annotations by displaying them as a tag cloud, where more frequent words are displayed using a larger font size. Word co-occurrence in a phrase can be visualized by arranging words in clusters or as a network.
WordCloud provides a concise visual summary of annotations which is helpful for network analysis and interpretation. WordCloud is freely available at http://baderlab.org/Software/WordCloudPlugin.
在研究生物网络时，通常会寻找集群，即高度互联的节点集。为了理解一个集群的生物学意义，用户通常必须筛选许多与生物实体相关的文本注释。
词云Cytoscape插件通过将这些注释显示为标签云来生成可视化摘要，其中更频繁出现的词使用更大的字体显示。短语中的词共现可以通过将词聚类排列或作为网络来可视化。
词云提供了注释的简洁可视化摘要，这有助于网络分析和解释。词云可从http://baderlab.org/Software/WordCloudPlugin免费获取。
