Name
Title | ||
|---|---|---|
Clust&See: a Cytoscape plugin for the identification, visualization and manipulation of network clusters. |
Abstract | ||
|---|---|---|
Background and scope: Large networks, such as protein interaction networks, are extremely difficult to analyze as a whole. We developed Clust&See, a Cytoscape plugin dedicated to the identification, visualization and analysis of clusters extracted from such networks. Implementation and performance: Clust&See provides the ability to apply three different, recently developed graph clustering algorithms to networks and to visualize: (i) the obtained partition as a quotient graph in which nodes correspond to clusters and (ii) the obtained clusters as their corresponding sub-networks. Importantly, tools for investigating the relationships between clusters and vertices as well as their organization within the whole graph are supplied. (C) 2013 The Authors. Published by Elsevier Ireland Ltd. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.biosystems.2013.05.010 | Biosystems |
Keywords | Field | DocType |
Interaction networks,Graph partitioning,Clustering,Visualization | Data mining,Cluster (physics),Vertex (geometry),Visualization,Computer science,Plug-in,Cluster analysis,Clustering coefficient,Graph partition,Quotient graph | Journal |
Volume | Issue | ISSN |
113 | 2 | 0303-2647 |
Citations | PageRank | References |
6 | 0.60 | 7 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lionel Spinelli | 1 | 6 | 0.60 |
| Philippe Gambette | 2 | 77 | 9.61 |
| Charles E. Chapple | 3 | 6 | 0.60 |
| Benoît Robisson | 4 | 6 | 0.60 |
| Anaïs Baudot | 5 | 6 | 0.60 |
| Henri Garreta | 6 | 6 | 0.60 |
| Laurent Tichit | 7 | 12 | 1.36 |
| Alain Guénoche | 8 | 6 | 0.60 |
| Christine Brun | 9 | 169 | 11.90 |