Tree-Based Classification of COVID-19 Using NanoString Whole-Blood Immune-Response Profiles: Comparison of Full-Dataset and LOOCV-Embedded Feature Selection.
- DOI
- 10.3390/v18091009
- Published
- 2026 Sep 13
- Container
- Viruses
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/v18091009,
title = {Tree-Based Classification of COVID-19 Using NanoString Whole-Blood Immune-Response Profiles: Comparison of Full-Dataset and LOOCV-Embedded Feature Selection.},
author = {Yilmaz ZB and Kucukakcali Z and Akbulut S},
year = {2026},
journal = {Viruses},
doi = {10.3390/v18091009},
url = {https://doi.org/10.3390/v18091009}
}RIS
TY - JOUR TI - Tree-Based Classification of COVID-19 Using NanoString Whole-Blood Immune-Response Profiles: Comparison of Full-Dataset and LOOCV-Embedded Feature Selection. AU - Yilmaz ZB AU - Kucukakcali Z AU - Akbulut S PY - 2026 JO - Viruses DO - 10.3390/v18091009 UR - https://doi.org/10.3390/v18091009 ER -
APA
ZB, Y., Z, K., & S, A. (2026). Tree-Based Classification of COVID-19 Using NanoString Whole-Blood Immune-Response Profiles: Comparison of Full-Dataset and LOOCV-Embedded Feature Selection.. Viruses. https://doi.org/10.3390/v18091009
Source records
- pubmed · retrieved 2026-09-26T14:45:43.075Z