APA (7th ed.) Citation

W, D., T, Z., L, G., Y, Z., H, Z., X, Z., . . . C, L. (2026). Deep learning-driven prediction of on-target activity, off-target risk, and repair outcomes in CRISPR/Cas9: Current landscape and multi-scale perspectives. Journal of translational medicine, 24(1), . https://doi.org/10.1186/s12967-026-08175-1

Chicago Style (17th ed.) Citation

W, Du, et al. "Deep Learning-driven Prediction of On-target Activity, Off-target Risk, and Repair Outcomes in CRISPR/Cas9: Current Landscape and Multi-scale Perspectives." Journal of Translational Medicine 24, no. 1 (2026). https://doi.org/10.1186/s12967-026-08175-1.

MLA (9th ed.) Citation

W, Du, et al. "Deep Learning-driven Prediction of On-target Activity, Off-target Risk, and Repair Outcomes in CRISPR/Cas9: Current Landscape and Multi-scale Perspectives." Journal of Translational Medicine, vol. 24, no. 1, 2026, https://doi.org/10.1186/s12967-026-08175-1.