TopoGSA: network topological gene set analysis
TopoGSA (Topology-based Gene Set Analysis) is a web-application dedicated to the computation and visualization of network topological properties for gene and protein sets in molecular interaction networks. Different topological characteristics, such as the centrality of nodes in the network or their...
| Main Authors: | , , , |
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| Format: | Article |
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Oxford University Press
2010
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| Online Access: | https://eprints.nottingham.ac.uk/1423/ |
| _version_ | 1848790603301650432 |
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| author | Glaab, Enrico Baudot, Anais Krasnogor, Natalio Valencia, Alfonso |
| author_facet | Glaab, Enrico Baudot, Anais Krasnogor, Natalio Valencia, Alfonso |
| author_sort | Glaab, Enrico |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | TopoGSA (Topology-based Gene Set Analysis) is a web-application dedicated to the computation and visualization of network topological properties for gene and protein sets in molecular interaction networks. Different topological characteristics, such as the centrality of nodes in the network or their tendency to form clusters, can be computed and compared with those of known cellular pathways and processes. |
| first_indexed | 2025-11-14T18:15:14Z |
| format | Article |
| id | nottingham-1423 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:15:14Z |
| publishDate | 2010 |
| publisher | Oxford University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-14232020-05-04T16:29:07Z https://eprints.nottingham.ac.uk/1423/ TopoGSA: network topological gene set analysis Glaab, Enrico Baudot, Anais Krasnogor, Natalio Valencia, Alfonso TopoGSA (Topology-based Gene Set Analysis) is a web-application dedicated to the computation and visualization of network topological properties for gene and protein sets in molecular interaction networks. Different topological characteristics, such as the centrality of nodes in the network or their tendency to form clusters, can be computed and compared with those of known cellular pathways and processes. Oxford University Press 2010-03-24 Article PeerReviewed Glaab, Enrico, Baudot, Anais, Krasnogor, Natalio and Valencia, Alfonso (2010) TopoGSA: network topological gene set analysis. Bioinformatics, 26 (9). pp. 1271-1272. ISSN 1367-4803 http://bioinformatics.oxfordjournals.org/content/26/9/1271.full doi:10.1093/bioinformatics/btq131 doi:10.1093/bioinformatics/btq131 |
| spellingShingle | Glaab, Enrico Baudot, Anais Krasnogor, Natalio Valencia, Alfonso TopoGSA: network topological gene set analysis |
| title | TopoGSA: network topological gene set analysis |
| title_full | TopoGSA: network topological gene set analysis |
| title_fullStr | TopoGSA: network topological gene set analysis |
| title_full_unstemmed | TopoGSA: network topological gene set analysis |
| title_short | TopoGSA: network topological gene set analysis |
| title_sort | topogsa: network topological gene set analysis |
| url | https://eprints.nottingham.ac.uk/1423/ https://eprints.nottingham.ac.uk/1423/ https://eprints.nottingham.ac.uk/1423/ |