APA (7th ed.) Citation

Z, H., W, S., C, L., & T, Y. (2026). Integrated single-cell and spatial mapping coupled with machine learning unveils core stemness landscapes and regulatory drivers in triple-negative breast cancer. Discover oncology, 17(1), . https://doi.org/10.1007/s12672-026-04824-5

Chicago Style (17th ed.) Citation

Z, Huo, Sun W, Lou C, and Yang T. "Integrated Single-cell and Spatial Mapping Coupled with Machine Learning Unveils Core Stemness Landscapes and Regulatory Drivers in Triple-negative Breast Cancer." Discover Oncology 17, no. 1 (2026). https://doi.org/10.1007/s12672-026-04824-5.

MLA (9th ed.) Citation

Z, Huo, et al. "Integrated Single-cell and Spatial Mapping Coupled with Machine Learning Unveils Core Stemness Landscapes and Regulatory Drivers in Triple-negative Breast Cancer." Discover Oncology, vol. 17, no. 1, 2026, https://doi.org/10.1007/s12672-026-04824-5.