Machine-learning developed an iron, copper, and sulfur-metabolism associated signature predicts lung adenocarcinoma prognosis and therapy response von Zhang, Liangyu, Zhang, Xun, Guan, Maohao, Zeng, Jianshen, Yu, Fengqiang, Lai, Fancai

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In-depth single-cell and bulk-RNA sequencing developed a NETosis-related gene signature affects non-small-cell lung cancer prognosis and tumor microenvironment: results from over 3... von Zhang, Liangyu, Zhang, Xun, Guan, Maohao, Yu, Fengqiang, Lai, Fancai

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Immune-Related Molecular Profiling of Thymoma With Myasthenia Gravis von Zhuang, Jinman, Guan, Maohao, Liu, Maolin, Liu, Yuhang, Yang, Shuyan, Hu, Zhijian, Lai, Fancai, He, Fei

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Machine-learning and combined analysis of single-cell and bulk-RNA sequencing identified a DC gene signature to predict prognosis and immunotherapy response for patients with lung... von Zhang, Liangyu, Guan, Maohao, Zhang, Xun, Yu, Fengqiang, Lai, Fancai

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Identification of a novel ADCC-related gene signature for predicting the prognosis and therapy response in lung adenocarcinoma von Zhang, Liangyu, Zhang, Xun, Guan, Maohao, Zeng, Jianshen, Yu, Fengqiang, Lai, Fancai

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Lung‐specific exosomes for doxorubicin delivery in lung adenocarcinoma therapy von Yu, Fengqiang, Chen, Yanxun, Yi, Weiqiang, Guan, Maohao, Lin, Nanlong, Zhuo, Yi, Lin, Jianbo, Lai, Fancai

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Protein Tyrosine Phosphatase Receptor Type R (PTPRR) Reduces AChR Clustering by Dephosphorylating MuSK von Chen, Yanxun, Guan, Maohao, Yu, Fengqiang, Yang, Zhongshan, Yi, Weiqiang, Huang, Xuan, Qiu, Ruiqin, Lai, Fancai

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Additional file 1 of Machine-learning developed an iron, copper, and sulfur-metabolism associated signature predicts lung adenocarcinoma prognosis and therapy response von Zhang, Liangyu, Zhang, Xun, Guan, Maohao, Zeng, Jianshen, Yu, Fengqiang, Lai, Fancai

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Driving real-time risk assessment and early warning method considering individual heterogeneity of driver von CHEN BIN, GUAN YANLEI, CHEN DEWANG, LIU MAOHAO, GUO YONGHUI

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