APA (7th ed.) Citation

M, J., C, L., D, H., K, K., S, Y., IP, N., . . . HS, R. (2022). Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth. Frontiers in oncology, 12, 841398. https://doi.org/10.3389/fonc.2022.841398

Chicago Style (17th ed.) Citation

M, Jung, et al. "Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth." Frontiers in Oncology 12 (2022): 841398. https://doi.org/10.3389/fonc.2022.841398.

MLA (9th ed.) Citation

M, Jung, et al. "Proteomic-Based Machine Learning Analysis Reveals PYGB as a Novel Immunohistochemical Biomarker to Distinguish Inverted Urothelial Papilloma From Low-Grade Papillary Urothelial Carcinoma With Inverted Growth." Frontiers in Oncology, vol. 12, 2022, p. 841398, https://doi.org/10.3389/fonc.2022.841398.