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Genome-wide investigation of genecancer associations using machine learning on biomedical data for the prediction of novel therapeutic targets
dc.contributor | Vellido Alcacena, Alfredo |
dc.contributor | Weisser, Hendrik |
dc.contributor | Sullivan, Julie |
dc.contributor.author | Rodríguez Bazaga, Adrián |
dc.contributor.other | Universitat Politècnica de Catalunya |
dc.date.accessioned | 2019-10-14T08:51:50Z |
dc.date.issued | 2019-07-05 |
dc.identifier.uri | http://hdl.handle.net/2117/170048 |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Informàtica |
dc.subject.lcsh | Machine learning |
dc.subject.lcsh | Biomedical engineering |
dc.subject.other | drug discovery |
dc.subject.other | therapeutic target selection |
dc.subject.other | deep network representation learning |
dc.subject.other | data integration |
dc.subject.other | gene-cancer associations |
dc.title | Genome-wide investigation of genecancer associations using machine learning on biomedical data for the prediction of novel therapeutic targets |
dc.title.alternative | Genome-wide investigation of gene-cancer associations using machine learning on biomedical big data |
dc.type | Master thesis |
dc.subject.lemac | Aprenentatge automàtic |
dc.subject.lemac | Enginyeria biomèdica |
dc.identifier.slug | 141950 |
dc.rights.access | Restricted access - confidentiality agreement |
dc.date.lift | 10000-01-01 |
dc.date.updated | 2019-07-12T04:01:35Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INNOVACIÓ I RECERCA EN INFORMÀTICA (Pla 2012) |