APA (7th ed.) Citation

Shen, Y., Huang, Q., Zhang, Y., Hsueh, C., & Zhou, L. (2022). A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma. Cancer Cell International, 22(1), 1. https://doi.org/10.1186/s12935-022-02647-2

Chicago Style (17th ed.) Citation

Shen, Yujie, Qiang Huang, Yifan Zhang, Chi-Yao Hsueh, and Liang Zhou. "A Novel Signature Derived from Metabolism-related Genes GPT and SMS to Predict Prognosis of Laryngeal Squamous Cell Carcinoma." Cancer Cell International 22, no. 1 (2022): 1. https://doi.org/10.1186/s12935-022-02647-2.

MLA (9th ed.) Citation

Shen, Yujie, et al. "A Novel Signature Derived from Metabolism-related Genes GPT and SMS to Predict Prognosis of Laryngeal Squamous Cell Carcinoma." Cancer Cell International, vol. 22, no. 1, 2022, p. 1, https://doi.org/10.1186/s12935-022-02647-2.