1. Yang, Huyin, Jin, Luhao, Sun, Xiaoyang. 2019. A thirteen‑gene set efficiently predicts the prognosis of glioblastoma. In Molecular medicine reports, 19, 1613-1621. doi:10.3892/mmr.2019.9801. https://pubmed.ncbi.nlm.nih.gov/30628650/
2. Morabito, Fortunato, Adornetto, Carlo, Monti, Paola, Gentile, Massimo, Greco, Gianluigi. 2023. Genes selection using deep learning and explainable artificial intelligence for chronic lymphocytic leukemia predicting the need and time to therapy. In Frontiers in oncology, 13, 1198992. doi:10.3389/fonc.2023.1198992. https://pubmed.ncbi.nlm.nih.gov/37719021/
3. Xu, Liyan, Yang, Kaili, Zhu, Meng, Pang, Chenjiu, Ren, Shengwei. 2022. Trio-based exome sequencing broaden the genetic spectrum in keratoconus. In Experimental eye research, 226, 109342. doi:10.1016/j.exer.2022.109342. https://pubmed.ncbi.nlm.nih.gov/36502923/
4. Chen, Hao, Yang, Meng, Wang, Qinghua, Li, Xiangchun, Chen, Kexin. 2019. The new identified biomarkers determine sensitivity to immune check-point blockade therapies in melanoma. In Oncoimmunology, 8, 1608132. doi:10.1080/2162402X.2019.1608132. https://pubmed.ncbi.nlm.nih.gov/31413919/
5. Pounraja, Vijay Kumar, Girirajan, Santhosh. 2022. A general framework for identifying oligogenic combinations of rare variants in complex disorders. In Genome research, 32, 904-915. doi:10.1101/gr.276348.121. https://pubmed.ncbi.nlm.nih.gov/35301265/
6. Alsoufi, Mohammed Abdulwahid, Liu, Yong, Cao, Changwei, He, Yang, Ge, Changrong. 2022. Integrated Transcriptomics Profiling in Chahua and Digao Chickens' Breast for Assessment Molecular Mechanism of Meat Quality Traits. In Genes, 14, . doi:10.3390/genes14010095. https://pubmed.ncbi.nlm.nih.gov/36672833/
7. Ahmed, Ridwan O, Ali, Ali, Al-Tobasei, Rafet, Kenney, Brett, Salem, Mohamed. 2022. Weighted Single-Step GWAS Identifies Genes Influencing Fillet Color in Rainbow Trout. In Genes, 13, . doi:10.3390/genes13081331. https://pubmed.ncbi.nlm.nih.gov/35893068/
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