Fung David C Y, Hong Seok-Hee, Koschützki Dirk, Schreiber Falk, Xu Kai
The University of Sydney, Sydney, Australia.
J Integr Bioinform. 2008 Nov 10;5(1):90. doi: 10.2390/biecoll-jib-2008-90.
Biological data is often structured in the form of complex interconnected networks such as protein interaction and metabolic networks. In this paper, we investigate a new problem of visualising such overlapping biological networks. Two networks overlap if they share some nodes and edges. We present an approach for constructing visualisations of two overlapping networks, based on a restricted three dimensional representation. More specifically, we use three parallel two dimensional planes placed in three dimensions to represent overlapping networks: one for each network (the top and the bottom planes) and one for the overlapping part (in the middle plane). Our method aims to achieve both drawing aesthetics (or conventions) for each individual network, and highlighting the intersection part by them. Using three biological datasets, we evaluate our visualisation design with the aim to test whether overlapping networks can support the visual analysis of heterogeneous and yet interconnected networks.
生物数据通常以复杂的相互连接网络的形式存在，如蛋白质相互作用网络和代谢网络。在本文中，我们研究了一个可视化此类重叠生物网络的新问题。如果两个网络共享一些节点和边，则它们重叠。我们提出了一种基于受限三维表示来构建两个重叠网络可视化的方法。更具体地说，我们使用放置在三维空间中的三个平行二维平面来表示重叠网络：每个网络各用一个平面（顶部和底部平面），重叠部分用一个平面（中间平面）。我们的方法旨在实现每个单独网络的绘图美学（或惯例），并通过它们突出显示交集部分。使用三个生物数据集，我们评估了我们的可视化设计，目的是测试重叠网络是否能够支持对异构但相互连接的网络进行可视化分析。
