An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences
- DOI
- 10.1016/j.chemolab.2022.104680
- Published
- 2022-11
- Container
- Chemometrics and Intelligent Laboratory Systems
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.chemolab.2022.104680,
title = {An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences},
author = {Bihter Das},
year = {2022},
journal = {Chemometrics and Intelligent Laboratory Systems},
doi = {10.1016/j.chemolab.2022.104680},
url = {https://doi.org/10.1016/j.chemolab.2022.104680}
}RIS
TY - JOUR TI - An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences AU - Bihter Das PY - 2022 JO - Chemometrics and Intelligent Laboratory Systems DO - 10.1016/j.chemolab.2022.104680 UR - https://doi.org/10.1016/j.chemolab.2022.104680 ER -
APA
Das, B. (2022). An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences. Chemometrics and Intelligent Laboratory Systems. https://doi.org/10.1016/j.chemolab.2022.104680
Source records
- crossref · retrieved 2026-09-26T05:26:49.883Z