Article Versions Notes

Wu B, Li L, Li L, Chen Y, Guan Y, Zhao J. Integration of Bioinformatics and Machine Learning to Identify CD8+ T Cell-Related Prognostic Signature to Predict Clinical Outcomes and Treatment Response in Breast Cancer Patients. Genes. 2024; 15(8):1093. https://doi.org/10.3390/genes15081093

Wu, Baoai, Longpeng Li, Longhui Li, Yinghua Chen, Yue Guan, and Jinfeng Zhao. 2024. "Integration of Bioinformatics and Machine Learning to Identify CD8+ T Cell-Related Prognostic Signature to Predict Clinical Outcomes and Treatment Response in Breast Cancer Patients" Genes 15, no. 8: 1093. https://doi.org/10.3390/genes15081093

Wu, B., Li, L., Li, L., Chen, Y., Guan, Y., & Zhao, J. (2024). Integration of Bioinformatics and Machine Learning to Identify CD8+ T Cell-Related Prognostic Signature to Predict Clinical Outcomes and Treatment Response in Breast Cancer Patients. Genes, 15(8), 1093. https://doi.org/10.3390/genes15081093