Profiling antigen-binding affinity of B cell repertoires in tumors by deep learning predicts immune-checkpoint inhibitor treatment outcomes
利用深度学习分析肿瘤中B细胞库的抗原结合亲和力，可预测免疫检查点抑制剂的治疗效果
期刊:Nature Cancer
影响因子:28.5
doi:10.1038/s43018-025-01001-5
Song, Bing; Wang, Kaiwen; Na, Saiyang; Yao, Jia; Fattah, Farjana J; Martin, Alexandra L; von Itzstein, Mitchell S; Yang, Donghan M; Liu, Jialiang; Xue, Yaming; Liang, Chaoying; Guo, Yuzhi; Raman, Indu; Zhu, Chengsong; Dowell, Jonathan E; Homsi, Jade; Rashdan, Sawsan; Yang, Shengjie; Gwin, Mary E; Wu, Tuoqi; Hsiehchen, David; Gloria-McCutchen, Yvonne; Lu, Catherine Pei-Ju; Raj, Prithvi; Bai, Xiao-Chen; Wang, Jun; Conejo-Garcia, Jose; Xie, Yang; Huang, Junzhou; Gerber, David E; Wang, Tao
