Integrating single-cell analysis and machine learning to create glycosylation-based gene signature for prognostic prediction of uveal melanoma

Integrating single-cell analysis and machine learning to create glycosylation-based gene signature for prognostic prediction of uveal melanoma

BackgroundIncreasing evidence suggests a correlation between glycosylation and the onset of cancer. However, the clinical relevance of glycosylation-related genes (GRGs) in uveal melanoma (UM) is yet to be fully understood. This study aimed to shed light on the impact of GRGs on UM prognosis.Methods...

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Bibliographic Details
Main Authors: Jianlan Liu, Pengpeng Zhang, Fang Yang, Keyu Jiang, Shiyi Sun, Zhijia Xia, Gang Yao, Jian Tang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Endocrinology
Subjects:
glycosylation
uveal melanoma
immunotherapy
machine learning
AUP1
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1163046/full

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