Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis.

Shi W, Li T, Li H, Ren J, Lv M, Wang Q, He Y, Yu Y, Liu L, Jin S, Chen H

DOI: 10.1049/syb2.12080
Published: 2023 Dec
Container: IET systems biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1049/syb2.12080,
  title = {Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis.},
  author = {Shi W and Li T and Li H and Ren J and Lv M and Wang Q and He Y and Yu Y and Liu L and Jin S and Chen H},
  year = {2023},
  journal = {IET systems biology},
  doi = {10.1049/syb2.12080},
  url = {https://doi.org/10.1049/syb2.12080}
}

RIS

TY  - JOUR
TI  - Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis.
AU  - Shi W
AU  - Li T
AU  - Li H
AU  - Ren J
AU  - Lv M
AU  - Wang Q
AU  - He Y
AU  - Yu Y
AU  - Liu L
AU  - Jin S
AU  - Chen H
PY  - 2023
JO  - IET systems biology
DO  - 10.1049/syb2.12080
UR  - https://doi.org/10.1049/syb2.12080
ER  -

APA

W, S., T, L., H, L., J, R., M, L., Q, W., Y, H., Y, Y., L, L., S, J., & H, C. (2023). Bioinformatics approach to identify the hub gene associated with COVID-19 and idiopathic pulmonary fibrosis.. IET systems biology. https://doi.org/10.1049/syb2.12080

Source records

pubmed · retrieved 2026-11-10T14:05:45.795Z