Hasil Pencarian - Minjun Du

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  1. 1
    Video-assisted Thoracoscope versus Video-assisted Mini-thoracotomy for Non-small Cell Lung Cancer: A Meta-analysis

    Video-assisted Thoracoscope versus Video-assisted Mini-thoracotomy for Non-small Cell Lung Cancer: A Meta-analysis oleh Bing WANG, Fang LV, Liang ZHAO, Minjun DU, Shugeng GAO

    Diterbitkan 2017-05-01
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  2. 2
    Identification of Key Genes Related to CD8+ T-Cell Infiltration as Prognostic Biomarkers for Lung Adenocarcinoma

    Identification of Key Genes Related to CD8+ T-Cell Infiltration as Prognostic Biomarkers for Lung Adenocarcinoma oleh Minjun Du, Yicheng Liang, Zixu Liu, Xingkai Li, Mei Liang, Boxuan Zhou, Yushun Gao

    Diterbitkan 2021-09-01
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  3. 3
    Enhanced CT-based radiomics model to predict natural killer cell infiltration and clinical prognosis in non-small cell lung cancer

    Enhanced CT-based radiomics model to predict natural killer cell infiltration and clinical prognosis in non-small cell lung cancer oleh Xiangzhi Meng, Haijun Xu, Yicheng Liang, Mei Liang, Weijian Song, Boxuan Zhou, Jianwei Shi, Minjun Du, Yushun Gao

    Diterbitkan 2024-01-01
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  4. 4
    LINC01089 Inhibits Tumorigenesis and Epithelial–Mesenchymal Transition of Non-small Cell Lung Cancer via the miR-27a/SFRP1/Wnt/β-catenin Axis

    LINC01089 Inhibits Tumorigenesis and Epithelial–Mesenchymal Transition of Non-small Cell Lung Cancer via the miR-27a/SFRP1/Wnt/β-catenin Axis oleh Xingkai Li, Fang Lv, Fang Li, Minjun Du, Yicheng Liang, Shaolong Ju, Zixu Liu, Boxuan Zhou, Bing Wang, Yushun Gao

    Diterbitkan 2020-11-01
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  5. 5
    GBE1 Is an Independent Prognostic Marker and Associated With CD163+ Tumor-Associated Macrophage Infiltration in Lung Adenocarcinoma

    GBE1 Is an Independent Prognostic Marker and Associated With CD163+ Tumor-Associated Macrophage Infiltration in Lung Adenocarcinoma oleh Yicheng Liang, Yangyang Lei, Yangyang Lei, Mei Liang, Minjun Du, Zixu Liu, Xingkai Li, Xiangzhi Meng, Boxuan Zhou, Yushun Gao

    Diterbitkan 2022-01-01
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  6. 6
    A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma

    A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma oleh Yicheng Liang, Yicheng Liang, Yicheng Liang, Binghua Tan, Binghua Tan, Minjun Du, Bing Wang, Yushun Gao, Minghui Wang, Minghui Wang

    Diterbitkan 2023-06-01
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