Efferocytosis-related signatures identified via Single-cell analysis and machine learning predict TNBC outcomes and immunotherapy response
通过单细胞分析和机器学习鉴定的胞吞作用相关特征可预测三阴性乳腺癌的预后和免疫治疗反应。
期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-22816-3
Wei, Lan; Wen, Siyang; Dang, Tingting; Zeng, Tao; Yang, Shiyu; You, Yiqing; Tang, Jiafeng; Sun, Haoli; Zhang, Liang; Li, Qian; Li, Xiaolu; Sun, Mengxin; He, Xiran; Zhao, Liuyang; Zhu, Xiaobing; Zhang, Yan