TVNViewer: an interactive visualization tool for exploring networks that change over time or space |
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| Authors: | Curtis Ross E Yuen Amos Song Le Goyal Anuj Xing Eric P |
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| Institution: | Joint CMU-Pitt PhD Program in Computational Biology, Lane Center for Computational Biology, School of Computer Science, Language Technologies Institute and Department of Machine Learning, Carnegie Mellon University, Pittsburgh, PA 15213, USA. |
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| Abstract: | The relationship between genes and proteins is a dynamic relationship that changes across time and differs in different cells. The study of these differences can reveal various insights into biological processes and disease progression, especially with the aid of proper tools for network visualization. Toward this purpose, we have developed TVNViewer, a novel visualization tool, which is specifically designed to aid in the exploration and analysis of dynamic networks. AVAILABILITY: TVNViewer is freely available with documentation and tutorials on the web at http://sailing.cs.cmu.edu/tvnviewer. CONTACT: epxing@cs.cmu.edu. |
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