王以瑄
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[1]
王以瑄,刘晶晶,王嘉寅,赖欣,孙新宇.考虑基因检测误差的癌症患者临床用药辅助决策模型研究:工程管理科技前沿,2024
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[2]
Yixuan Wang,Jiayin Wang,Xiaofeng Song,et al..THOR: a TMB heterogeneity-adaptive optimization model predicts immunotherapy response using clonal genomic features in group-structured data:Briefings in Bioinformatics,2024,26(1)
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[3]
Yixuan Wang,Xiaofeng Song,Jingjing Liu,Jian Zhao,Jiayin Wang,Quan Wang.A statistical explainable learning model optimizing co-localization of multidimensional positivity thresholds in immunotherapy decision-supporting:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM),2024
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[4]
Yixuan Wang,Xin Lai,Xiaofeng Song,Jiayin Wang,Wenfeng Fang,Xiao Xiao,Quan Wang,Jian Zhao,Jingjing Liu,Shuanying Yang,Yuqian Liu.TMBserval: a statistical explainable learning model reveals weighted tumor mutation burden better categorizing therapeutic benefits:Frontiers in Immunology,2023,14:1151755
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[5]
Yixuan Wang,Wenfeng Fang,Xin Lai,Jiayin Wang,Ying Xu,Xuanping Zhang,Xiaoyan Zhu,Yuqian Liu,Yang Shao,Li Zhang.TMBcat: A multi-endpoint p-value criterion on different discrepancy metrics for superiorly inferring tumor mutation burden thresholds:Frontiers in Immunology,2022,13:995180
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[6]
Yixuan Wang,Wenfeng Fang,Xin Lai,Jiayin Wang,Ying Xu,Xuanping Zhang,Xiaoyan Zhu,Yuqian Liu,Yang Shao,Li Zhang.A Joint Model Considering Measurement Errors for Optimally Identifying Tumor Mutation Burden Threshold:Frontiers in Genetics,2022,13:915839
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