1. Zhou, JiangFei, Huang, Jian, Li, ZhiWu, Wang, Lu, Meng, QingQi. 2023. Identification of aging-related biomarkers and immune infiltration characteristics in osteoarthritis based on bioinformatics analysis and machine learning. In Frontiers in immunology, 14, 1168780. doi:10.3389/fimmu.2023.1168780. https://pubmed.ncbi.nlm.nih.gov/37503333/
2. Samo, Ayaz Ali, Li, Jiuyi, Zhou, Min, Lu, Xuzhang, Fan, Xiaolong. . MCL1 gene co-expression module stratifies multiple myeloma and predicts response to proteasome inhibitor-based therapy. In Genes, chromosomes & cancer, 57, 420-429. doi:10.1002/gcc.2. https://pubmed.ncbi.nlm.nih.gov/29696703/
3. Hanna, Ruth E, Hegde, Mudra, Fagre, Christian R, Neal, James T, Doench, John G. . Massively parallel assessment of human variants with base editor screens. In Cell, 184, 1064-1080.e20. doi:10.1016/j.cell.2021.01.012. https://pubmed.ncbi.nlm.nih.gov/33606977/
4. Beroukhim, Rameen, Mermel, Craig H, Porter, Dale, Sellers, William R, Meyerson, Matthew. . The landscape of somatic copy-number alteration across human cancers. In Nature, 463, 899-905. doi:10.1038/nature08822. https://pubmed.ncbi.nlm.nih.gov/20164920/
5. Kuehnle, Neil, Gottwein, Eva. 2022. Druggable host gene dependencies in primary effusion lymphoma. In Current opinion in virology, 56, 101270. doi:10.1016/j.coviro.2022.101270. https://pubmed.ncbi.nlm.nih.gov/36182745/
6. Wang, Ying, Chen, Guohua, Shao, Wei. 2022. Identification of Ferroptosis-Related Genes in Alzheimer's Disease Based on Bioinformatic Analysis. In Frontiers in neuroscience, 16, 823741. doi:10.3389/fnins.2022.823741. https://pubmed.ncbi.nlm.nih.gov/35197821/
7. Aubrey, Brandon J, Kelly, Gemma L, Kueh, Andrew J, Strasser, Andreas, Herold, Marco J. 2015. An inducible lentiviral guide RNA platform enables the identification of tumor-essential genes and tumor-promoting mutations in vivo. In Cell reports, 10, 1422-32. doi:10.1016/j.celrep.2015.02.002. https://pubmed.ncbi.nlm.nih.gov/25732831/
智鼠故事 
