Machine learning framework to extract the biomarker potential of plasma IgG N-glycans towards disease risk stratification
- DOI
- 10.1016/j.csbj.2024.03.008
- Published
- 2024-03-22
- Container
- Computational and Structural Biotechnology Journal
- Publisher
- American Association for the Advancement of Science (AAAS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.csbj.2024.03.008,
title = {Machine learning framework to extract the biomarker potential of plasma IgG N-glycans towards disease risk stratification},
author = {Konstantinos Flevaris and Joseph Davies and Shoh Nakai and Frano Vučković and Gordan Lauc and Malcolm G. Dunlop and Cleo Kontoravdi},
year = {2024},
journal = {Computational and Structural Biotechnology Journal},
doi = {10.1016/j.csbj.2024.03.008},
url = {https://doi.org/10.1016/j.csbj.2024.03.008}
}RIS
TY - JOUR TI - Machine learning framework to extract the biomarker potential of plasma IgG N-glycans towards disease risk stratification AU - Konstantinos Flevaris AU - Joseph Davies AU - Shoh Nakai AU - Frano Vučković AU - Gordan Lauc AU - Malcolm G. Dunlop AU - Cleo Kontoravdi PY - 2024 JO - Computational and Structural Biotechnology Journal DO - 10.1016/j.csbj.2024.03.008 UR - https://doi.org/10.1016/j.csbj.2024.03.008 ER -
APA
Flevaris, K., Davies, J., Nakai, S., Vučković, F., Lauc, G., Dunlop, M. G., & Kontoravdi, C. (2024). Machine learning framework to extract the biomarker potential of plasma IgG N-glycans towards disease risk stratification. Computational and Structural Biotechnology Journal. https://doi.org/10.1016/j.csbj.2024.03.008
Source records
- crossref · retrieved 2026-09-25T17:52:47.031Z