1. Weller, Andrew E, Ferraro, Thomas N, Doyle, Glenn A, Crist, Richard C, Berrettini, Wade H. . Single Nucleus Transcriptome Data from Alzheimer's Disease Mouse Models Yield New Insight into Pathophysiology. In Journal of Alzheimer's disease : JAD, 90, 1233-1247. doi:10.3233/JAD-220391. https://pubmed.ncbi.nlm.nih.gov/36213995/
2. Zhao, Lianfang, Tang, Yuqin, Yang, Jiayan, Zhang, Yongqiang, Chen, Jianhui. 2023. Integrative analysis of circadian clock with prognostic and immunological biomarker identification in ovarian cancer. In Frontiers in molecular biosciences, 10, 1208132. doi:10.3389/fmolb.2023.1208132. https://pubmed.ncbi.nlm.nih.gov/37409345/
3. El Hadi, Hicham, Abdellaoui-Maane, Imane, Kottwitz, Denise, Sefrioui, Hassan, Moumen, Abdeladim. 2016. Development and evaluation of a novel RT-qPCR based test for the quantification of HER2 gene expression in breast cancer. In Gene, 605, 114-122. doi:10.1016/j.gene.2016.12.027. https://pubmed.ncbi.nlm.nih.gov/28039034/
4. Li, Xiaobo, Lv, Yang, Hao, Jihong, Pu, Yuepu, Chen, Rui. . Role of microRNA-4516 involved autophagy associated with exposure to fine particulate matter. In Oncotarget, 7, 45385-45397. doi:10.18632/oncotarget.9978. https://pubmed.ncbi.nlm.nih.gov/27329587/
5. Salgado, Iván, Prado Montes de Oca, Ernesto, Chairez, Isaac, Alvarado Parra, Teresa, Vallejo, Adriana. 2024. Deep Learning Techniques to Characterize the RPS28P7 Pseudogene and the Metazoa-SRP Gene as Drug Potential Targets in Pancreatic Cancer Patients. In Biomedicines, 12, . doi:10.3390/biomedicines12020395. https://pubmed.ncbi.nlm.nih.gov/38397997/