Results

eNauka >  Results >  Identification of potentally causal variants for myasthenia gravis: a bioinformatics-driven fine-mapping approach combined with genetic association study
Title: Identification of potentally causal variants for myasthenia gravis: a bioinformatics-driven fine-mapping approach combined with genetic association study
Authors: Garai, Nemanja  ; Petrović, K.; Karanović, Jelena  ; Dejanović, I.; Perić, S.; Basta, I.; Jovanović, VM.; Savić-Pavićević, Dušanka  
Issue Date: 2023
Publication: CoMBoS2 – the Second Congress of Molecular Biologists of Serbia
Type: Conference Paper
URI: https://imagine.imgge.bg.ac.rs/handle/123456789/2196
https://biore.bio.bg.ac.rs/handle/123456789/6403
https://enauka.gov.rs/handle/123456789/840249
M-category: 
Mp. category will be shown later

Find the DOI


Google ScholarTM

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