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Hi, we built R/Shiny Appication "GScluster" using Old version of cytoscape.js ( ver 2.4.1 ) for network-weighted gene-set clustering and network visualization few month ago.
also we built R Package "shinyCyJS" that connects cytoscape.js and R/shiny with recent version of cytoscape.js. ( ver 3.4.2 )
now we are working with shinyCyJS to replace older version of GScluster's cytoscape.js
here's our group
UNIST Bioinformatics Group. https://sites.google.com/site/bigunist2/
GLB301 Simulation uses cytoscape in order to demonstrate the infrastructure network and improved version of the infrastructure network with ad-hoc communication. If a node is not inside one of the area of base stations, it looks for the other nodes which have the internet connection. By this improvement, the capacity and range of a base station increases.
We use lots of the features of cytoscape. Thanks a lot!
The Github Repository: https://github.com/fcoskunn/Cytoscape-Network-Demo
@jhk0530 interested to hear how development is progressing. Do you anticipate documentation anytime soon? I'm wondering what layouts will be supported.
Organization: CJFP & Associates
We use extended collocation analysis to expose salient features in text, and we use Cytoscape.js to expose those features as an interactive map that can be used to filter the text.
For example, Covid researchers can keep up to date with Springer Nature journals by mapping the abstracts into an index which they can then use to find common features in context.
In the image below abstracts are filtered by the selected edge in the map between "Respiratory" and "Syndrome", with the matches highlighted in the text below.
The website also features demonstrations for Wikipedia pages, and PDF files that you upload to the browser only. Enjoy!