Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma

BackgroundImmunotherapy has revolutionized skin cutaneous melanoma treatment, but response variability due to tumor heterogeneity necessitates robust biomarkers for predicting immunotherapy response.MethodsWe used weighted gene co-expression network analysis (WGCNA), consensus clustering, and 10 mac...

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Bibliographic Details

Published in:	Frontiers in Immunology
Main Authors:	Zaidong Deng, Jie Liu, Yanxun V. Yu, Youngnam N. Jin
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-09-01
Subjects:	skin cutaneous melanoma immunotherapy tumor immune microenvironment (TIME) machine learning multi-omics GBP5
Online Access:	https://www.frontiersin.org/articles/10.3389/fimmu.2024.1451103/full