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  1. cytoHubba. Predicts and explores important nodes and subnetworks in a given network by several topological algorithms. (168) 128573 downloads | citations | discussions. Details. Release History. Categories: clustering, Connection sub-graph discovery, graph analysis, network analysis, Protein complex, social network analysis, Topology.

  2. CytoHubba provide a user-friendly interface to explore important nodes in biological networks. It computes all eleven methods in one stop shopping way. Besides, researchers are able to combine cytoHubba with and other plugins into a novel analysis scheme.

  3. Predicts and explores important nodes and subnetworks in a given network by several topological algorithms - lsbnb/cytoHubba.

  4. Predicts and explores important nodes and subnetworks in a given network by several topological algorithms - lsbnb/cytoHubba

  5. Dec 8, 2014 · CytoHubba provides 11 topological analysis methods including Degree, Edge Percolated Component, Maximum Neighborhood Component, Density of Maximum Neighborhood Component, Maximal Clique...

  6. CytoHubba provides 11 topological analysis methods including Degree, Edge Percolated Component, Maximum Neighborhood Component, Density of Maximum Neighborhood Component, Maximal Clique Centrality and six centralities (Bottleneck, EcCentricity, Closeness, Radiality, Betweenness, and Stress) based on shortest paths.

  7. Dec 8, 2014 · A novel Cytoscape plugin cytoHubba is introduced for ranking nodes in a network by their network features and the new proposed method, MCC, has a better performance on the precision of predicting essential proteins from the yeast PPI network.

  8. Dec 7, 2014 · We can measure nodes by their network features to infer their importance in the network, and it can help us identify central elements of biological networks. We introduce a novel Cytoscape plugin cytoHubba for ranking nodes in a network by their network features.

  9. CytoHubba provides 11 topological analysis methods including Degree, Edge Percolated Component, Maximum Neighborhood Component, Density of Maximum Neighborhood Component, Maximal Clique Centrality and six centralities (Bottleneck, EcCentricity, Closeness, Radiality, Betweenness, and Stress) based on shortest paths. Among the eleven methods, the ...

  10. Dec 8, 2014 · CytoHubba provide a user-friendly interface to explore important nodes in biological networks. It computes all eleven methods in one stop shopping way. Besides, researchers are able to combine cytoHubba with and other plugins into a novel analysis scheme.

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