APA (7th ed.) Citation

Hughes, B. K., Davis, A., Milligan, D., Wallis, R., Mossa, F., Philpott, M. P., . . . Bishop, C. L. (2025). SenPred: A single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden. Genome medicine, 17(1), 2-16. https://doi.org/10.1186/s13073-024-01418-0

Chicago Style (17th ed.) Citation

Hughes, Bethany K., Andrew Davis, Deborah Milligan, Ryan Wallis, Federica Mossa, Michael P. Philpott, Linda J. Wainwright, David A. Gunn, and Cleo L. Bishop. "SenPred: A Single-cell RNA Sequencing-based Machine Learning Pipeline to Classify Deeply Senescent Dermal Fibroblast Cells for the Detection of an in Vivo Senescent Cell Burden." Genome Medicine 17, no. 1 (2025): 2-16. https://doi.org/10.1186/s13073-024-01418-0.

MLA (9th ed.) Citation

Hughes, Bethany K., et al. "SenPred: A Single-cell RNA Sequencing-based Machine Learning Pipeline to Classify Deeply Senescent Dermal Fibroblast Cells for the Detection of an in Vivo Senescent Cell Burden." Genome Medicine, vol. 17, no. 1, 2025, pp. 2-16, https://doi.org/10.1186/s13073-024-01418-0.