AB, L., I, A., A, B., MU, H., A, I., ZM, C., . . . CA, K. (2024). A meta-analysis of bulk RNA-seq datasets identifies potential biomarkers and repurposable therapeutics against Alzheimer's disease. Scientific reports, 14(1), 24717. https://doi.org/10.1038/s41598-024-75431-z
Chicago Style (17th ed.) CitationAB, Lamisa, Ahammad I, Bhattacharjee A, Hossain MU, Ishtiaque A, Chowdhury ZM, Das KC, Salimullah M, and Keya CA. "A Meta-analysis of Bulk RNA-seq Datasets Identifies Potential Biomarkers and Repurposable Therapeutics Against Alzheimer's Disease." Scientific Reports 14, no. 1 (2024): 24717. https://doi.org/10.1038/s41598-024-75431-z.
MLA (9th ed.) CitationAB, Lamisa, et al. "A Meta-analysis of Bulk RNA-seq Datasets Identifies Potential Biomarkers and Repurposable Therapeutics Against Alzheimer's Disease." Scientific Reports, vol. 14, no. 1, 2024, p. 24717, https://doi.org/10.1038/s41598-024-75431-z.