Frontiers in Endocrinology (May 2024)
Corrigendum: Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma
- Hao Chi,
- Gaoge Peng,
- Jinyan Yang,
- Jinhao Zhang,
- Guobin Song,
- Xixi Xie,
- Dorothee Franziska Strohmer,
- Guichuan Lai,
- Songyun Zhao,
- Rui Wang,
- Fang Yang,
- Gang Tian
Affiliations
- Hao Chi
- Clinical Medical College, Southwest Medical University, Luzhou, China
- Gaoge Peng
- Clinical Medical College, Southwest Medical University, Luzhou, China
- Jinyan Yang
- School of Stomatology, Southwest Medical University, Luzhou, China
- Jinhao Zhang
- School of Stomatology, Southwest Medical University, Luzhou, China
- Guobin Song
- School of Stomatology, Southwest Medical University, Luzhou, China
- Xixi Xie
- School of Stomatology, Southwest Medical University, Luzhou, China
- Dorothee Franziska Strohmer
- Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, Germany
- Guichuan Lai
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
- Songyun Zhao
- Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, China
- Rui Wang
- Clinical Medical College, Southwest Medical University, Luzhou, China
- Fang Yang
- Department of Ophthalmology, Charité – Universitätsmedizin Berlin, Campus Virchow-Klinikum, Berlin, Germany
- Gang Tian
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- DOI
- https://doi.org/10.3389/fendo.2024.1421538
- Journal volume & issue
-
Vol. 15
Abstract
No abstracts available.Keywords
