| Autor: |
Dinkla, K., El-Kebir, M., Bucur, C.-I., Siderius, M., Smit, M.J., Westenberg, M.A., Klau, G.W. |
| Přispěvatelé: |
Algorithms, Geometry and Applications, Visualization |
| Jazyk: |
angličtina |
| Rok vydání: |
2013 |
| Popis: |
Background. Biological networks have growing importance for the interpretation of high-throughput "omics" data. Statistical and combinatorial methods allow to obtain mechanistic insights through the extraction of smaller subnetwork modules. Further enrichment analyses provide set-based annotations of these modules. Results. We present eXamine, a set-oriented visual analysis approach for annotated modules that displays set membership as contours on top of a node-link layout. Our approach extends upon Self Organizing Maps to simultaneously lay out nodes, links, and set contours. Conclusions. We implemented eXamine as a freely available Cytoscape app. Using eXamine we study a module that is activated by the virally-encoded G-protein coupled receptor US28 and formulate a novel hypothesis about its functioning. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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