1. Chen, Bo, Xie, Kang, Zhang, Jianzhong, Zhang, Liyang, Peng, Renjun. 2023. Comprehensive analysis of mitochondrial dysfunction and necroptosis in intracranial aneurysms from the perspective of predictive, preventative, and personalized medicine. In Apoptosis : an international journal on programmed cell death, 28, 1452-1468. doi:10.1007/s10495-023-01865-x. https://pubmed.ncbi.nlm.nih.gov/37410216/
2. Lin, Yixuan, Chen, Kaicong, Guo, Jinhua, Qian, Zhi Rong, Zhang, Tong. 2023. Identification of cuproptosis-related genes and immune infiltration in dilated cardiomyopathy. In International journal of cardiology, 399, 131702. doi:10.1016/j.ijcard.2023.131702. https://pubmed.ncbi.nlm.nih.gov/38168558/
3. Wang, Tengfei, Sun, Yongyou, Zhao, Yingpeng, Huang, Jinhe, Huang, Ying. 2024. Identification of hub genes in heart failure by integrated bioinformatics analysis and machine learning. In Frontiers in cardiovascular medicine, 10, 1332287. doi:10.3389/fcvm.2023.1332287. https://pubmed.ncbi.nlm.nih.gov/38250028/
4. Zhou, Hui, Wang, Fengjuan, Niu, Ting. 2022. Prediction of prognosis and immunotherapy response of amino acid metabolism genes in acute myeloid leukemia. In Frontiers in nutrition, 9, 1056648. doi:10.3389/fnut.2022.1056648. https://pubmed.ncbi.nlm.nih.gov/36618700/
5. Jiang, Jiayan, Li, Zhipeng, Chen, Cheng, Xu, Biao, Zhao, Qi. 2021. Metabolomics Strategy Assisted by Transcriptomics Analysis to Identify Potential Biomarkers Associated with Tuberculosis. In Infection and drug resistance, 14, 4795-4807. doi:10.2147/IDR.S330493. https://pubmed.ncbi.nlm.nih.gov/34815677/