A visual analytics approach for integrated data-knowledge networks.
**RenoDoI** is a visual analytics approach to untangle (lt. renodare) large and dense integrated data-knowledge networks using degree-of-interest (DoI) functions with attribute-based layouts of the resulting subnetworks. The comparison of multiple subnetworks representing different analysis facets is facilitated through an interactive super-network that integrates brushing-and-linking techniques for highlighting components across networks. Click [ here] to see RenoDoI in action. We also prepared a [ manual] for usage instructions as well as the corresponding ready-to-use [ Cytoscape session file].


Works with Cytoscape 3.2


Version 1.1.0

Released 19 Feb 2015

Works with Cytoscape 3.2

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