1. Li, Yumiao, Yu, Xiaoxue, Zhang, Yuhao, Zang, Aimin, Jia, Youchao. 2021. Identification of a novel prognosis-associated ceRNA network in lung adenocarcinoma via bioinformatics analysis. In Biomedical engineering online, 20, 117. doi:10.1186/s12938-021-00952-x. https://pubmed.ncbi.nlm.nih.gov/34819106/
2. Yu, Wuhan, Li, Yin, Zhong, Fuxin, Yu, Weihua, Lü, Yang. 2024. Disease-Associated Neurotoxic Astrocyte Markers in Alzheimer Disease Based on Integrative Single-Nucleus RNA Sequencing. In Cellular and molecular neurobiology, 44, 20. doi:10.1007/s10571-024-01453-w. https://pubmed.ncbi.nlm.nih.gov/38345650/
3. Liu, Zhengchun, Liu, Xiuli, Cai, Rui, Liu, Meilian, Wang, Rensheng. 2021. Identification of a tumor microenvironment-associated prognostic gene signature in bladder cancer by integrated bioinformatic analysis. In International journal of clinical and experimental pathology, 14, 551-566. doi:. https://pubmed.ncbi.nlm.nih.gov/34093942/
4. Ueda, Kohei, Fujiki, Katsunori, Shirahige, Katsuhiko, Nangaku, Masaomi, Nagase, Miki. 2014. Genome-wide analysis of murine renal distal convoluted tubular cells for the target genes of mineralocorticoid receptor. In Biochemical and biophysical research communications, 445, 132-7. doi:10.1016/j.bbrc.2014.01.125. https://pubmed.ncbi.nlm.nih.gov/24491541/
5. Gealekman, Olga, Gurav, Kunal, Chouinard, My, Hartigan, Celia, Corvera, Silvia. 2014. Control of adipose tissue expandability in response to high fat diet by the insulin-like growth factor-binding protein-4. In The Journal of biological chemistry, 289, 18327-38. doi:10.1074/jbc.M113.545798. https://pubmed.ncbi.nlm.nih.gov/24778188/
6. Balraj, Alex Stanley, Muthamilselvan, Sangeetha, Raja, Rachanaa, Palaniappan, Ashok. . PRADclass: Hybrid Gleason Grade-Informed Computational Strategy Identifies Consensus Biomarker Features Predictive of Aggressive Prostate Adenocarcinoma. In Technology in cancer research & treatment, 23, 15330338231222389. doi:10.1177/15330338231222389. https://pubmed.ncbi.nlm.nih.gov/38226611/
7. Mirza, Zeenat, Rajeh, Nisreen. . Identification of Electrophysiological Changes in Alzheimer's Disease: A Microarray Based Transcriptomics and Molecular Pathway Analysis Study. In CNS & neurological disorders drug targets, 16, 1027-1038. doi:10.2174/1871527316666171023153837. https://pubmed.ncbi.nlm.nih.gov/29065845/