1. Li, Qingqing, Wang, Peipei, Yuan, Jinlong, Mei, Yaxin, Ye, Mingquan. 2022. A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms. In Frontiers in neuroscience, 16, 1034971. doi:10.3389/fnins.2022.1034971. https://pubmed.ncbi.nlm.nih.gov/36340761/
2. Alshabi, Ali Mohamed, Vastrad, Basavaraj, Shaikh, Ibrahim Ahmed, Vastrad, Chanabasayya. 2019. Identification of Crucial Candidate Genes and Pathways in Glioblastoma Multiform by Bioinformatics Analysis. In Biomolecules, 9, . doi:10.3390/biom9050201. https://pubmed.ncbi.nlm.nih.gov/31137733/
3. Soonthornsit, Jeerawat, Sakai, Noriko, Sasaki, Yurika, Osako, Shiho, Nakamura, Nobuhiro. 2017. YIPF1, YIPF2, and YIPF6 are medial-/trans-Golgi and trans-Golgi network-localized Yip domain family proteins, which play a role in the Golgi reassembly and glycan synthesis. In Experimental cell research, 353, 100-108. doi:10.1016/j.yexcr.2017.03.011. https://pubmed.ncbi.nlm.nih.gov/28286305/
4. Zhang, Jiayi, Zhang, Zheng, Yang, Chenqing, Liu, Qingguang, Song, Tao. 2025. Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms. In Scientific reports, 15, 7977. doi:10.1038/s41598-025-91475-1. https://pubmed.ncbi.nlm.nih.gov/40055377/