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Kun He

Government of the People's Republic of China - China-Japan Friendship Hospital

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Comprehensive Characterization of the Immune Microenvironment Based on Nested Resampling Machine Learning Framework Identifies TRAF3IP3 as a Promising Regulator to Improve the Resistance to Immunotherapy in Glioma

Number of pages: 64 Posted: 13 Sep 2024
Fei Wang, Yanbo Yang, Yulian Zhang, Chuanpeng Zhang, Lu Zhao, Hanhan Dang, Dengfeng Lu, Yunsheng Zhang, Kun He, Zhouqing Chen, Zhong Wang and Yanbing Yu
Soochow University - Neurosurgery & Brain and Nerve Research Laboratory, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Government of the People's Republic of China - China-Japan Friendship Hospital, Government of the People's Republic of China - China-Japan Friendship Hospital, Government of the People's Republic of China - China-Japan Friendship Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC), Soochow University - Neurosurgery & Brain and Nerve Research Laboratory, Government of the People's Republic of China - China-Japan Friendship Hospital, Government of the People's Republic of China - China-Japan Friendship Hospital, Soochow University - Neurosurgery & Brain and Nerve Research Laboratory, Soochow University - Neurosurgery & Brain and Nerve Research Laboratory and Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC)
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Glioma, TRAF3IP3, tumor microenvironment, machine learning, multi-omics, immunotherapy