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Semi-bipartite Graph Visualization for Gene Ontology Networks

机译:基因本体网络的半二角形图形可视化

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In this paper we propose three layout algorithms for semi-bipartite graphs-bipartite graphs with edges in one partition-that emerge from microarray experiment analysis. We also introduce a method that effectively reduces visual complexity by removing less informative nodes. The drawing quality and running time are evaluated with five real-world datasets, and the results show significant reduction in crossing number and total edge length. All the proposed methods are available in visualization package GEOMI [1], and are well received by domain users.
机译:在本文中,我们提出了三个布局算法,用于半二角形图 - 双链图,其中一个分区中的边缘 - 从微阵列实验分析中出现。我们还介绍了一种通过去除较少的信息节点来有效降低视觉复杂性的方法。用五个真实世界数据集评估绘图质量和运行时间,结果显示交叉数和总边缘长度显着降低。所有提出的方法都可以在可视化封装Geomi [1]中,并由域用户康复。

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