APA (7th ed.) Citation

X, L., & X, H. (2026). CDCSI: A machine learning-based interpretable cell death and cellular senescence index for prognosis improvement, immune landscape characterization, and therapeutic response prediction in head and neck squamous cell carcinoma. Frontiers in immunology, 17, 1848488. https://doi.org/10.3389/fimmu.2026.1848488

Chicago Style (17th ed.) Citation

X, Luo, and He X. "CDCSI: A Machine Learning-based Interpretable Cell Death and Cellular Senescence Index for Prognosis Improvement, Immune Landscape Characterization, and Therapeutic Response Prediction in Head and Neck Squamous Cell Carcinoma." Frontiers in Immunology 17 (2026): 1848488. https://doi.org/10.3389/fimmu.2026.1848488.

MLA (9th ed.) Citation

X, Luo, and He X. "CDCSI: A Machine Learning-based Interpretable Cell Death and Cellular Senescence Index for Prognosis Improvement, Immune Landscape Characterization, and Therapeutic Response Prediction in Head and Neck Squamous Cell Carcinoma." Frontiers in Immunology, vol. 17, 2026, p. 1848488, https://doi.org/10.3389/fimmu.2026.1848488.