Comprehensive Analysis and Reinforcement Learning of Hypoxic Genes Based on Four Machine Learning Algorithms for Estimating the Immune Landscape, Clinical Outcomes, and Therapeutic Implications in Patients With Lung Adenocarcinoma

BACKGROUND: Patients with lung adenocarcinoma (LUAD) exhibit significant heterogeneity in therapeutic responses and overall survival (OS). In recent years, accumulating research has uncovered the critical roles of hypoxia in a variety of solid tumors, but its role in LUAD is not currently fully eluc...

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Detalles Bibliográficos
Autores principales: Sun, Zhaoyang, Zeng, Yu, Yuan, Ting, Chen, Xiaoying, Wang, Hua, Ma, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226377/
https://www.ncbi.nlm.nih.gov/pubmed/35757722
http://dx.doi.org/10.3389/fimmu.2022.906889

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226377/
https://www.ncbi.nlm.nih.gov/pubmed/35757722
http://dx.doi.org/10.3389/fimmu.2022.906889

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