APA (7th ed.) Citation

Zhang, Z., Chen, H., Yan, D., Chen, L., Sun, J., & Zhou, M. (2023). Deep learning identifies a T-cell exhaustion-dependent transcriptional signature for predicting clinical outcomes and response to immune checkpoint blockade. Oncogenesis, 12(1), 1. https://doi.org/10.1038/s41389-023-00482-2

Chicago Style (17th ed.) Citation

Zhang, Zicheng, Hongyan Chen, Dongxue Yan, Lu Chen, Jie Sun, and Meng Zhou. "Deep Learning Identifies a T-cell Exhaustion-dependent Transcriptional Signature for Predicting Clinical Outcomes and Response to Immune Checkpoint Blockade." Oncogenesis 12, no. 1 (2023): 1. https://doi.org/10.1038/s41389-023-00482-2.

MLA (9th ed.) Citation

Zhang, Zicheng, et al. "Deep Learning Identifies a T-cell Exhaustion-dependent Transcriptional Signature for Predicting Clinical Outcomes and Response to Immune Checkpoint Blockade." Oncogenesis, vol. 12, no. 1, 2023, p. 1, https://doi.org/10.1038/s41389-023-00482-2.