APA (7th ed.) Citation

Z, L., R, C., Y, Q., X, L., E, W., X, W., . . . Y, L. (2026). Integration of radiomics, deep learning, transcriptomics, and metabolomics reveals prognostic risk stratification and underlying biological mechanisms in colorectal cancer. NPJ precision oncology, 10(1), . https://doi.org/10.1038/s41698-026-01331-2

Chicago Style (17th ed.) Citation

Z, Li, Cai R, Qin Y, Liao X, Wang E, Wu X, Zhao Y, Lu Z, and Lin Y. "Integration of Radiomics, Deep Learning, Transcriptomics, and Metabolomics Reveals Prognostic Risk Stratification and Underlying Biological Mechanisms in Colorectal Cancer." NPJ Precision Oncology 10, no. 1 (2026). https://doi.org/10.1038/s41698-026-01331-2.

MLA (9th ed.) Citation

Z, Li, et al. "Integration of Radiomics, Deep Learning, Transcriptomics, and Metabolomics Reveals Prognostic Risk Stratification and Underlying Biological Mechanisms in Colorectal Cancer." NPJ Precision Oncology, vol. 10, no. 1, 2026, https://doi.org/10.1038/s41698-026-01331-2.