Please use this identifier to cite or link to this item: https://biore.bio.bg.ac.rs/handle/123456789/6979
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dc.contributor.authorBaralić, Katarinaen_US
dc.contributor.authorJorgovanović, Dragicaen_US
dc.contributor.authorĆurčić, Marijanaen_US
dc.contributor.authorAntonijević, Evicaen_US
dc.contributor.authorŽivančević, Katarinaen_US
dc.contributor.authorAntonijević, Biljanaen_US
dc.contributor.authorĐukić-Ćosić, Danijelaen_US
dc.date.accessioned2023-12-19T08:05:59Z-
dc.date.available2023-12-19T08:05:59Z-
dc.date.issued2018-10-
dc.identifier.urihttps://biore.bio.bg.ac.rs/handle/123456789/6979-
dc.titleMercury-gene-disease associations: toxicogenomics data mining approachen_US
dc.typeConference Paperen_US
dc.relation.conferenceVII Congress of Pharmacists of Serbia with International Participation, 10 -14th October 2018, Belgrade, Serbiaen_US
dc.description.rankM34en_US
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptChair of General Physiology and Biophysics-
crisitem.author.orcid0000-0002-2369-3060-
Appears in Collections:Conference abstract
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