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dc.contributor.advisorMartín Plágaro, César Augusto
dc.contributor.advisorShen, Bairong
dc.contributor.authorLiu, Kun
dc.date2026-04-26
dc.date.accessioned2024-09-03T16:31:26Z
dc.date.available2024-09-03T16:31:26Z
dc.date.issued2024-04-26
dc.date.submitted2024-04-26
dc.identifier.urihttp://hdl.handle.net/10810/69401
dc.description169 p.es_ES
dc.description.abstractSince the birth of the first IVF case in 1978, reproductive medicine is experiencing unprecedented rapid development. However, with the worldwide incidence of infertility increasing each year, reproductive doctors are facing greater challenges. How to realize precise treatment for infertility patients, optimise the process and efficiency of assisted reproduction and improve pregnancy outcomes has become a major problem in the field of reproduction. Bioinformatics has been widely used in reproductive health research at various technical levels, including genome, transcriptome, proteome and metabolome, to analyze the normal functions of different organs in the reproductive system or their abnormal pathologies at different levels; it also promotes the progress of clinical diagnosis and treatment of reproduction-related illnesses, thus effectively promoting the development and innovation of reproductive health research on the basis of guaranteed rigour and scientificity.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.subjectpopulation geneticses_ES
dc.subjecthuman metabolismses_ES
dc.titleBasic, Translational and Clinical Studies in Reproductive Medicinees_ES
dc.typeinfo:eu-repo/semantics/doctoralThesises_ES
dc.rights.holder(c) 2024 Kun Liu
dc.identifier.studentID988738es_ES
dc.identifier.projectID23192es_ES
dc.departamentoesBioquímica y biología moleculares_ES
dc.departamentoeuBiokimika eta biologia molekularraes_ES


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