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Corrigendum: Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma.
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.
Afiliação
  • Chi H; Clinical Medical College, Southwest Medical University, Luzhou, China.
  • Peng G; Clinical Medical College, Southwest Medical University, Luzhou, China.
  • Yang J; School of Stomatology, Southwest Medical University, Luzhou, China.
  • Zhang J; School of Stomatology, Southwest Medical University, Luzhou, China.
  • Song G; School of Stomatology, Southwest Medical University, Luzhou, China.
  • Xie X; School of Stomatology, Southwest Medical University, Luzhou, China.
  • Strohmer DF; Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, Germany.
  • Lai G; Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China.
  • Zhao S; Department of Neurosurgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
  • Wang R; Clinical Medical College, Southwest Medical University, Luzhou, China.
  • Yang F; Department of Ophthalmology, Charité - Universitätsmedizin Berlin, Campus Virchow-Klinikum, Berlin, Germany.
  • Tian G; Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Front Endocrinol (Lausanne) ; 15: 1421538, 2024.
Article em En | MEDLINE | ID: mdl-38784067
ABSTRACT
[This corrects the article DOI 10.3389/fendo.2022.1056310.].
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article