Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/5687
DC FieldValueLanguage
dc.contributor.authorRadenković, Lanaen_US
dc.contributor.authorKaranović, Jelenaen_US
dc.contributor.authorIvković, Majaen_US
dc.contributor.authorDamjanović, Aleksandaren_US
dc.contributor.authorPantović-Stefanović, Majaen_US
dc.contributor.authorSavić-Pavićević, Dušankaen_US
dc.date.accessioned2023-03-17T10:44:36Z-
dc.date.available2023-03-17T10:44:36Z-
dc.date.issued2021-10-12-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/5687-
dc.titlePredicting suicide: serotonin presynapse dynamic modelling and machine learning approachen_US
dc.typeConference Paperen_US
dc.relation.conferenceVirtual congress of Psychiatric Geneticsen_US
dc.date.updated2023-10-14-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptChair of Biochemistry and Molecular Biology-
crisitem.author.deptChair of Biochemistry and Molecular Biology-
crisitem.author.deptChair of Biochemistry and Molecular Biology-
crisitem.author.orcid0000-0002-8213-2781-
crisitem.author.orcid0000-0002-6291-5527-
crisitem.author.orcid0000-0002-2079-4077-
Appears in Collections:Conference abstract
Show simple item record

Page view(s)

2
checked on Nov 21, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.