The random forest machine learning model performs better in predicting drug repositioning using networks : systematic review and meta-analysis

García Zea, Jerson Alexander2024-05-082024https://hdl.handle.net/10784/33778application/pdfengTodos los derechos reservadosReposicionamiento de medicamentosDesarrollo de medicamentosRedes biológicasAprendizaje automáticoBosque aleatorioThe random forest machine learning model performs better in predicting drug repositioning using networks : systematic review and meta-analysisinfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/closedAccessCIENCIAS DE LA VIDAAPRENDIZAJE AUTOMÁTICO (INTELIGENCIA ARTIFICIAL)MEDICAMENTOSBIOTECNOLOGÍA FARMACÉUTICAFARMACOLOGÍADrug RepositioningDrug developmentBiological NetworksMachine LearningRandom ForestAcceso metadatos2024-05-08García Marín, Darlyn JurannyGarcía Zea, Jerson Alexanderreponame:Repositorio Institucional Universidad EAFITinstname:Universidad EAFITrepourl:https://repository.eafit.edu.cohttp://purl.org/coar/access_right/c_14cb