Publication:
A Bayesian network approach to study host and viral genetic correlates of HIV-1 disease progression

dc.contributor.authorSnoek, Joke
dc.contributor.authorCasado, Concepcion
dc.contributor.authorColombo, Sara
dc.contributor.authorRauch, Andri
dc.contributor.authorGarcía, Soledad
dc.contributor.authorBoix Martinez, Raquel
dc.contributor.authorTheys, Kristof
dc.contributor.authorKhouri, Ricardo
dc.contributor.authorGünthard, Huldrych F
dc.contributor.authorTelenti, Amalio
dc.contributor.authorLopez-Galindez, Luis Cecilio
dc.contributor.authorVandamme, Anne-Mieke
dc.date.accessioned2019-06-05T11:35:44Z
dc.date.available2019-06-05T11:35:44Z
dc.date.issued2011
dc.description.abstractHIV 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.peerreviewedes_ES
dc.format.numberSuppl 2es_ES
dc.format.pageP70es_ES
dc.format.volume8es_ES
dc.identifier.citationRetrovirology. 2011; 8(Suppl 2): P70.es_ES
dc.identifier.doi10.1186/1742-4690-8-S2-P70es_ES
dc.identifier.issn1742-4690es_ES
dc.identifier.journalRetrovirologyes_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/7740
dc.language.isoenges_ES
dc.publisherBioMed Central (BMC)es_ES
dc.relation.publisherversionhttps://doi.org/10.1186/1742-4690-8-S2-P70es_ES
dc.repisalud.centroISCIII::Centro Nacional de Microbiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshBayesian Networkes_ES
dc.subject.meshProviral Loades_ES
dc.subject.meshViral Evolutiones_ES
dc.subject.meshClinical Definitiones_ES
dc.subject.meshElite Controlleres_ES
dc.titleA Bayesian network approach to study host and viral genetic correlates of HIV-1 disease progressiones_ES
dc.typeconference posteres_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication7e48a263-54c3-4de0-81e7-f7446c918f2d
relation.isAuthorOfPublicationabf16c93-4dfb-49bb-b93b-ceb1c9d6c9e8
relation.isAuthorOfPublicationf57c2687-907b-44ea-a780-7920ff8b9b41
relation.isAuthorOfPublication.latestForDiscovery7e48a263-54c3-4de0-81e7-f7446c918f2d

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ABayesianNetworkApproach_2011.pdf
Size:
248.17 KB
Format:
Adobe Portable Document Format
Description: