1. Moody, Laura, Chen, Hong, Pan, Yuan-Xiang. 2020. Considerations for feature selection using gene pairs and applications in large-scale dataset integration, novel oncogene discovery, and interpretable cancer screening. In BMC medical genomics, 13, 148. doi:10.1186/s12920-020-00778-x. https://pubmed.ncbi.nlm.nih.gov/33087122/
2. Meng, Qingzhe, Liu, Dunhui, Huang, Junhong, Yang, Liying, Wei, Jianhua. . RGIE: A Gene Selection Method Related to Radiotherapy Resistance in Head and Neck Squamous Cell Carcinoma. In Current radiopharmaceuticals, 17, 341-355. doi:10.2174/0118744710282465240315053136. https://pubmed.ncbi.nlm.nih.gov/38532606/
3. Sardell, Rebecca J, Bailey, Jessica N Cooke, Courtenay, Monique D, Haines, Jonathan L, Pericak-Vance, Margaret A. 2016. Whole exome sequencing of extreme age-related macular degeneration phenotypes. In Molecular vision, 22, 1062-76. doi:. https://pubmed.ncbi.nlm.nih.gov/27625572/
4. Lu, Wenzhang, Huang, Jinbo, Shen, Qin, Sun, Fei, Li, Jun. 2023. Identification of diagnostic biomarkers for idiopathic pulmonary hypertension with metabolic syndrome by bioinformatics and machine learning. In Scientific reports, 13, 615. doi:10.1038/s41598-023-27435-4. https://pubmed.ncbi.nlm.nih.gov/36635413/
5. Wei, Chao, Wang, Lei, Zhang, Han. 2018. An Ensemble Method to Predict Target Genes and Pathways in Uveal Melanoma. In Open life sciences, 13, 90-96. doi:10.1515/biol-2018-0013. https://pubmed.ncbi.nlm.nih.gov/33817073/
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