Cheng, Y.; Zhao, L.; Yu, H.; Lin, J.; Li, M.; Zhang, H.; Zhu, H.; Cheng, H.; Huang, Q.; Liu, Y.;
et al. Insights into the Correlation and Immune Crosstalk Between COVID-19 and Sjögren’s Syndrome Keratoconjunctivitis Sicca via Weighted Gene Coexpression Network Analysis and Machine Learning. Biomedicines 2025, 13, 579.
https://doi.org/10.3390/biomedicines13030579
AMA Style
Cheng Y, Zhao L, Yu H, Lin J, Li M, Zhang H, Zhu H, Cheng H, Huang Q, Liu Y,
et al. Insights into the Correlation and Immune Crosstalk Between COVID-19 and Sjögren’s Syndrome Keratoconjunctivitis Sicca via Weighted Gene Coexpression Network Analysis and Machine Learning. Biomedicines. 2025; 13(3):579.
https://doi.org/10.3390/biomedicines13030579
Chicago/Turabian Style
Cheng, Yaqi, Liang Zhao, Huan Yu, Jiayi Lin, Meng Li, Huini Zhang, Haocheng Zhu, Huanhuan Cheng, Qunai Huang, Yingjie Liu,
and et al. 2025. "Insights into the Correlation and Immune Crosstalk Between COVID-19 and Sjögren’s Syndrome Keratoconjunctivitis Sicca via Weighted Gene Coexpression Network Analysis and Machine Learning" Biomedicines 13, no. 3: 579.
https://doi.org/10.3390/biomedicines13030579
APA Style
Cheng, Y., Zhao, L., Yu, H., Lin, J., Li, M., Zhang, H., Zhu, H., Cheng, H., Huang, Q., Liu, Y., Wang, T., & Ling, S.
(2025). Insights into the Correlation and Immune Crosstalk Between COVID-19 and Sjögren’s Syndrome Keratoconjunctivitis Sicca via Weighted Gene Coexpression Network Analysis and Machine Learning. Biomedicines, 13(3), 579.
https://doi.org/10.3390/biomedicines13030579
