APA (7th ed.) Citation

M, R., W, H., YA, G., D, S., SWT, H., P, T., . . . MA, B. (2024). Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer. Genome research, 34(5), 680. https://doi.org/10.1101/gr.278565.123

Chicago Style (17th ed.) Citation

M, Razavi-Mohseni, Huang W, Guo YA, Shigaki D, Ho SWT, Tan P, Skanderup AJ, and Beer MA. "Machine Learning Identifies Activation of RUNX/AP-1 as Drivers of Mesenchymal and Fibrotic Regulatory Programs in Gastric Cancer." Genome Research 34, no. 5 (2024): 680. https://doi.org/10.1101/gr.278565.123.

MLA (9th ed.) Citation

M, Razavi-Mohseni, et al. "Machine Learning Identifies Activation of RUNX/AP-1 as Drivers of Mesenchymal and Fibrotic Regulatory Programs in Gastric Cancer." Genome Research, vol. 34, no. 5, 2024, p. 680, https://doi.org/10.1101/gr.278565.123.