Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma (Vol 13, 1056310, 2022)
作者全名：Chi, Hao; Peng, Gaoge; Yang, Jinyan; Zhang, Jinhao; Song, Guobin; Xie, Xixi; Strohmer, Dorothee Franziska; Lai, Guichuan; Zhao, Songyun; Wang, Rui; Yang, Fang; Tian, Gang
作者地址：[Chi, Hao; Peng, Gaoge; Wang, Rui] Southwest Med Univ, Clin Med Coll, Luzhou, Peoples R China; [Yang, Jinyan; Zhang, Jinhao; Song, Guobin; Xie, Xixi] Southwest Med Univ, Sch Stomatol, Luzhou, Peoples R China; [Strohmer, Dorothee Franziska] Ludwig Maximilians Univ Munchen, Dept Gen Visceral & Transplant Surg, Munich, Germany; [Lai, Guichuan] Chongqing Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Chongqing, Peoples R China; [Zhao, Songyun] Nanjing Med Univ, Wuxi Peoples Hosp, Dept Neurosurg, Wuxi, Peoples R China; [Yang, Fang] Charite, Dept Ophthalmol, Charite Univ Med Berlin, D-13353 Berlin, Germany; [Tian, Gang] Southwest Med Univ, Affiliated Hosp, Dept Lab Med, Luzhou, Peoples R China
通信作者：Chi, H (通讯作者)，Southwest Med Univ, Clin Med Coll, Luzhou, Peoples R China.
来源：FRONTIERS IN ENDOCRINOLOGY
ESI学科分类：CLINICAL MEDICINE
WOS号：WOS:001229734300001
JCR分区：Q2
影响因子：3.9
年份：2024
卷号：15
期号：
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结束页：
文献类型：Correction
关键词：sphingolipid metabolism; UVM; tumor microenvironment; immunotherapy; predictive signature
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