Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis

Yujie Song, Tao Feng, Wenping Cao, Haiyang Yu, Zeng Zhang

DOI: 10.1155/2022/9022700
Published: 2022-06-07
Container: Computational Intelligence and Neuroscience
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1155/2022/9022700,
  title = {Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis},
  author = {Yujie Song and Tao Feng and Wenping Cao and Haiyang Yu and Zeng Zhang},
  year = {2022},
  journal = {Computational Intelligence and Neuroscience},
  doi = {10.1155/2022/9022700},
  url = {https://doi.org/10.1155/2022/9022700}
}

RIS

TY  - JOUR
TI  - Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis
AU  - Yujie Song
AU  - Tao Feng
AU  - Wenping Cao
AU  - Haiyang Yu
AU  - Zeng Zhang
PY  - 2022
JO  - Computational Intelligence and Neuroscience
DO  - 10.1155/2022/9022700
UR  - https://doi.org/10.1155/2022/9022700
ER  -

APA

Song, Y., Feng, T., Cao, W., Yu, H., & Zhang, Z. (2022). Identification of Key Genes in Nasopharyngeal Carcinoma Based on Bioinformatics Analysis. Computational Intelligence and Neuroscience. https://doi.org/10.1155/2022/9022700

Source records

crossref · retrieved 2026-09-25T15:37:44.982Z