Publication: A Bayesian network approach to study host and viral genetic correlates of HIV-1 disease progression
| dc.contributor.author | Snoek, Joke | |
| dc.contributor.author | Casado, Concepcion | |
| dc.contributor.author | Colombo, Sara | |
| dc.contributor.author | Rauch, Andri | |
| dc.contributor.author | García, Soledad | |
| dc.contributor.author | Boix Martinez, Raquel | |
| dc.contributor.author | Theys, Kristof | |
| dc.contributor.author | Khouri, Ricardo | |
| dc.contributor.author | Günthard, Huldrych F | |
| dc.contributor.author | Telenti, Amalio | |
| dc.contributor.author | Lopez-Galindez, Luis Cecilio | |
| dc.contributor.author | Vandamme, Anne-Mieke | |
| dc.date.accessioned | 2019-06-05T11:35:44Z | |
| dc.date.available | 2019-06-05T11:35:44Z | |
| dc.date.issued | 2011 | |
| dc.description.abstract | HIV disease progression is very variable among infected patients. Using classical statistical methods based on a selected number of markers, Casado et al [1] identified a number of host and viral genetic correlates for the clinical definitions of HIV-1 disease progression: elite controllers, long term non progressors including viremic controllers and clinical non progressors, regular progressors and rapid progressors. | es_ES |
| dc.description.peerreviewed | Sí | es_ES |
| dc.format.number | Suppl 2 | es_ES |
| dc.format.page | P70 | es_ES |
| dc.format.volume | 8 | es_ES |
| dc.identifier.citation | Retrovirology. 2011; 8(Suppl 2): P70. | es_ES |
| dc.identifier.doi | 10.1186/1742-4690-8-S2-P70 | es_ES |
| dc.identifier.issn | 1742-4690 | es_ES |
| dc.identifier.journal | Retrovirology | es_ES |
| dc.identifier.uri | http://hdl.handle.net/20.500.12105/7740 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | BioMed Central (BMC) | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1186/1742-4690-8-S2-P70 | es_ES |
| dc.repisalud.centro | ISCIII::Centro Nacional de Microbiología | es_ES |
| dc.repisalud.institucion | ISCIII | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.license | Atribución 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject.mesh | Bayesian Network | es_ES |
| dc.subject.mesh | Proviral Load | es_ES |
| dc.subject.mesh | Viral Evolution | es_ES |
| dc.subject.mesh | Clinical Definition | es_ES |
| dc.subject.mesh | Elite Controller | es_ES |
| dc.title | A Bayesian network approach to study host and viral genetic correlates of HIV-1 disease progression | es_ES |
| dc.type | conference poster | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 7e48a263-54c3-4de0-81e7-f7446c918f2d | |
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| relation.isAuthorOfPublication | f57c2687-907b-44ea-a780-7920ff8b9b41 | |
| relation.isAuthorOfPublication.latestForDiscovery | 7e48a263-54c3-4de0-81e7-f7446c918f2d |
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