Hasil Pencarian - Fang-Min Zhong

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Perbaiki Hasil
  1. 1
    m(6)A Modification of lncRNA NEAT1 Regulates Chronic Myelocytic Leukemia Progression via miR-766-5p/CDKN1A Axis

    m(6)A Modification of lncRNA NEAT1 Regulates Chronic Myelocytic Leukemia Progression via miR-766-5p/CDKN1A Axis oleh Fang-Yi Yao, Cui Zhao, Fang-Min Zhong, Ting-Yu Qin, Fang Wen, Mei-Yong Li, Jing Liu, Bo Huang, Xiao-Zhong Wang

    Diterbitkan 2021-07-01
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  2. 2
    A Novel Necroptosis-Related Signature Can Predict Prognosis and Chemotherapy Sensitivity in Multiple Myeloma

    A Novel Necroptosis-Related Signature Can Predict Prognosis and Chemotherapy Sensitivity in Multiple Myeloma oleh Jun-Yao Jiang MD, Fang-Yi Yao MD, Jing Liu MD, Xin-Lu Wang MD, Bo Huang MD, Fang-Min Zhong MD, Xiao-Zhong Wang PhD

    Diterbitkan 2024-02-01
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  3. 3
    Splicing factor-mediated regulation patterns reveals biological characteristics and aid in predicting prognosis in acute myeloid leukemia

    Splicing factor-mediated regulation patterns reveals biological characteristics and aid in predicting prognosis in acute myeloid leukemia oleh Fang-Min Zhong, Fang-Yi Yao, Jing Liu, Mei-Yong Li, Jun-Yao Jiang, Ying Cheng, Shuai Xu, Shu-Qi Li, Nan Zhang, Bo Huang, Xiao-Zhong Wang

    Diterbitkan 2023-01-01
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  4. 4
    Application of interpretable machine learning algorithms to predict distant metastasis in ovarian clear cell carcinoma

    Application of interpretable machine learning algorithms to predict distant metastasis in ovarian clear cell carcinoma oleh Qin‐Hua Guo, Feng‐Chun Xie, Fang‐Min Zhong, Wen Wen, Xue‐Ru Zhang, Xia‐Jing Yu, Xin‐Lu Wang, Bo Huang, Li‐Ping Li, Xiao‐Zhong Wang

    Diterbitkan 2024-04-01
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  5. 5
    Ferroptosis-related molecular patterns reveal immune escape, inflammatory development and lipid metabolism characteristics of the tumor microenvironment in acute myeloid leukemia

    Ferroptosis-related molecular patterns reveal immune escape, inflammatory development and lipid metabolism characteristics of the tumor microenvironment in acute myeloid leukemia oleh Fang-Min Zhong, Fang-Min Zhong, Fang-Yi Yao, Jing Liu, Hai-Bin Zhang, Jing Zhang, Nan Zhang, Jin Lin, Shu-Qi Li, Mei-Yong Li, Jun-Yao Jiang, Ying Cheng, Ying Cheng, Shuai Xu, Shuai Xu, Wen Wen, Wen Wen, Yu-Lin Yang, Yu-Lin Yang, Xue-Ru Zhang, Xue-Ru Zhang, Xue-Xin Cheng, Bo Huang, Xiao-Zhong Wang, Xiao-Zhong Wang

    Diterbitkan 2022-11-01
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  6. 6
    Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia

    Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemia oleh Fang-Min Zhong, Fang-Yi Yao, Yu-Lin Yang, Jing Liu, Mei-Yong Li, Jun-Yao Jiang, Nan Zhang, Yan-Mei Xu, Shu-Qi Li, Ying Cheng, Shuai Xu, Bo Huang, Xiao-Zhong Wang

    Diterbitkan 2023-04-01
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  7. 7
    A novel fatty acid metabolism-related signature identifies features of the tumor microenvironment and predicts clinical outcome in acute myeloid leukemia

    A novel fatty acid metabolism-related signature identifies features of the tumor microenvironment and predicts clinical outcome in acute myeloid leukemia oleh Hai-Bin Zhang, Zhuo-Kai Sun, Fang-Min Zhong, Fang-Yi Yao, Jing Liu, Jing Zhang, Nan Zhang, Jin Lin, Shu-Qi Li, Mei-Yong Li, Jun-Yao Jiang, Ying Cheng, Shuai Xu, Xue-Xin Cheng, Bo Huang, Xiao-Zhong Wang

    Diterbitkan 2022-08-01
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  8. 8
    Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients

    Quantitative Proteomic Analysis of Plasma Exosomes to Identify the Candidate Biomarker of Imatinib Resistance in Chronic Myeloid Leukemia Patients oleh Mei-Yong Li, Cui Zhao, Cui Zhao, Lian Chen, Fang-Yi Yao, Fang-Min Zhong, Ying Chen, Shuai Xu, Jun-Yao Jiang, Yu-Lin Yang, Qing-Hua Min, Jin Lin, Hai-Bin Zhang, Jing Liu, Xiao-Zhong Wang, Bo Huang

    Diterbitkan 2021-12-01
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