1. Liang, Yihao, Lin, Fangzheng, Huang, Yunfei. 2022. Identification of Biomarkers Associated with Diagnosis of Osteoarthritis Patients Based on Bioinformatics and Machine Learning. In Journal of immunology research, 2022, 5600190. doi:10.1155/2022/5600190. https://pubmed.ncbi.nlm.nih.gov/35733917/
2. Deng, Lu, Wang, Dandan, Chen, Shouzhen, Hu, Weiguo, Zhang, Ru. 2021. Epiphycan Predicts Poor Outcomes and Promotes Metastasis in Ovarian Cancer. In Frontiers in oncology, 11, 653782. doi:10.3389/fonc.2021.653782. https://pubmed.ncbi.nlm.nih.gov/34888227/
3. Yang, Zhen, Li, Honglin, Hao, Jie, Wang, Huaqing, Gao, Ming. 2024. EPYC functions as a novel prognostic biomarker for pancreatic cancer. In Scientific reports, 14, 719. doi:10.1038/s41598-024-51478-w. https://pubmed.ncbi.nlm.nih.gov/38184732/
4. Wang, K, Li, Y, Wang, J, Chen, R, Li, J. 2021. A novel 12-gene signature as independent prognostic model in stage IA and IB lung squamous cell carcinoma patients. In Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 23, 2368-2381. doi:10.1007/s12094-021-02638-1. https://pubmed.ncbi.nlm.nih.gov/34028782/
5. Wang, H, Guo, J, Jiang, J, Li, Z, Zhao, J. 2017. New genes associated with rheumatoid arthritis identified by gene expression profiling. In International journal of immunogenetics, 44, 107-113. doi:10.1111/iji.12313. https://pubmed.ncbi.nlm.nih.gov/28371410/
6. Wang, Yaling, Hsu, Peichun, Hu, Haiyan, Lin, Feng, Wei, Xiaokang. 2025. Role of arachidonic acid metabolism in osteosarcoma prognosis by integrating WGCNA and bioinformatics analysis. In BMC cancer, 25, 445. doi:10.1186/s12885-024-13278-3. https://pubmed.ncbi.nlm.nih.gov/40075313/
智鼠故事 
