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PhD Доне Стојанов

PhD Доне Стојанов
no.: 03847 source: E-CRIS

researcher – active in research organisation
Phone number 078 582 979
  done.stojanovat signugd.edu.mk
Foreign language skills
Research activity

Code Science Field
B110  Biomedical sciences  Bioinformatics, medical informatics, biomathematics biometrics 
B220  Biomedical sciences  Genetics, cytogenetics 
P176  Natural sciences and mathematics  Artificial intelligence 

Code Science Field Subfield
2.12.05  Technical and technological sciences  Computer engineering and informatics  Artificial intelligence and systems 
Keywords
bioinformatics, algorithms, data processing
Education
source: E-CRIS
Level of education Professional title Study subject Faculty Year
Doctoral degree  Associate Professor  Computer science  MK University Goce Delcev - Stip, Faculty of Informatics 2015 
Doctoral dissertations and other final papers Show
Obtaining results now
source: COBISS
Employments
source: E-CRIS
Type of employment Research org. Research group Date of employment Position Title
Part time employment (100%, RD:%)  Goce Delcev University - Stip, Faculty of Informatics  Department of Computer Technology and Intelligent Systems  11/5/2020  Associate Professor  Associate professor 
Biography
Selected papers published in Thomson Reuters (Impact Factor) or Scopus (CiteScore) indexed journals: 1. Stojanov, Done, et al. "Predicting the outcome of heart failure against chronic-ischemic heart disease in elderly population–Machine learning approach based on logistic regression, case to Villa Scassi hospital Genoa, Italy." Journal of King Saud University-Science 35.3 (2023): 102573. 2. Stojanov, Done. "Structural implications of SARS-CoV-2 Surface Glycoprotein N501Y mutation within receptor-binding domain [499-505]–computational analysis of the most frequent Asn501 polar uncharged amino acid mutations." Biotechnology & Biotechnological Equipment 37.1 (2023): 2206492. 3. Stojanov D. Phylogenicity of B.1.1.7 surface glycoprotein, novel distance function and first report of V90T missense mutation in SARS-CoV-2 surface glycoprotein. Meta Gene. 2021 Dec;30:100967. doi: 10.1016/j.mgene.2021.100967. Epub 2021 Aug 27. PMID: 34466389; PMCID: PMC8393516. 4. Stojanov D. Data on multiple SARS-CoV-2 surface glycoprotein alignments. Data in Brief. 2021 Oct;38:107414. doi: 10.1016/j.dib.2021.107414. Epub 2021 Sep 23. PMID: 34584917; PMCID: PMC8459576. 5. Done Stojanov, Ana Madevska Bogdanova & Tomasz Marcin Orzechowski (2016) TMO: time and memory optimized algorithm applicable for more accurate alignment of trinucleotide repeat disorders associated genes, Biotechnology & Biotechnological Equipment, 30:2, 388-403, DOI: 10.1080/13102818.2015.1114428 6. Done Stojanov, Sašo Koceski, Aleksandra Mileva, Nataša Koceska & Cveta Martinovska Bande (2014) Towards computational improvement of DNA database indexing and short DNA query searching, Biotechnology & Biotechnological Equipment, 28:5, 958-967, DOI: 10.1080/13102818.2014.959711 7. Stojanov, D., Koceski, S., & Mileva, A. (2013). FLAG: Fast Local Alignment Generating Methodology. Romanian Biotechnological Letters, 18(1), 7881-7888. International conferences papers: 8. Stojanov D, Koceski S. Topological MRI prostate segmentation method. In 2014 Federated Conference on Computer Science and Information Systems 2014 Sep 7 (pp. 219-225). IEEE. Repository Link: http://eprints.ugd.edu.mk/view/creators/Stojanov=3ADone=3A=3A.html
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