Machine-learning and combined analysis of single-cell and bulk-RNA sequencing identified a DC gene signature to predict prognosis and immunotherapy response for patients with lung adenocarcinoma.

MLA

Zhang, Liangyu, et al. “Machine-Learning and Combined Analysis of Single-Cell and Bulk-RNA Sequencing Identified a DC Gene Signature to Predict Prognosis and Immunotherapy Response for Patients with Lung Adenocarcinoma.” Journal of Cancer Research & Clinical Oncology, vol. 149, no. 15, Nov. 2023, pp. 13553–74. EBSCOhost, https://doi.org/10.1007/s00432-023-05151-w.

APA

Zhang, L., Guan, M., Zhang, X., Yu, F., & Lai, F. (2023). Machine-learning and combined analysis of single-cell and bulk-RNA sequencing identified a DC gene signature to predict prognosis and immunotherapy response for patients with lung adenocarcinoma. Journal of Cancer Research & Clinical Oncology, 149(15), 13553–13574. https://doi.org/10.1007/s00432-023-05151-w

Chicago

Zhang, Liangyu, Maohao Guan, Xun Zhang, Fengqiang Yu, and Fancai Lai. 2023. “Machine-Learning and Combined Analysis of Single-Cell and Bulk-RNA Sequencing Identified a DC Gene Signature to Predict Prognosis and Immunotherapy Response for Patients with Lung Adenocarcinoma.” Journal of Cancer Research & Clinical Oncology 149 (15): 13553–74. doi:10.1007/s00432-023-05151-w.