Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods.

Chen L, Li Z, Zeng T, Zhang YH, Feng K, Huang T, Cai YD

DOI: 10.1155/2021/9939134
Published: 2021
Container: BioMed research international
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2021/9939134,
  title = {Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods.},
  author = {Chen L and Li Z and Zeng T and Zhang YH and Feng K and Huang T and Cai YD},
  year = {2021},
  journal = {BioMed research international},
  doi = {10.1155/2021/9939134},
  url = {https://doi.org/10.1155/2021/9939134}
}

RIS

TY  - JOUR
TI  - Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods.
AU  - Chen L
AU  - Li Z
AU  - Zeng T
AU  - Zhang YH
AU  - Feng K
AU  - Huang T
AU  - Cai YD
PY  - 2021
JO  - BioMed research international
DO  - 10.1155/2021/9939134
UR  - https://doi.org/10.1155/2021/9939134
ER  -

APA

L, C., Z, L., T, Z., YH, Z., K, F., T, H., & YD, C. (2021). Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods.. BioMed research international. https://doi.org/10.1155/2021/9939134

Source records

pubmed · retrieved 2026-09-25T06:01:25.940Z
europe-pmc · retrieved 2026-09-25T06:01:25.935Z