Fusing WGCNA and Machine Learning for Immune-Related Gene Prognostic Index in Lung Adenocarcinoma: Precision Prognosis, Tumor Microenvironment Profiling, and Biomarker Discovery

BACKGROUND: The objective is to create an IRGPI (Immune-related genes prognostic index), which could predict the survival and effectiveness of immune checkpoint inhibitor (ICI) treatment for lung adenocarcinoma (LUAD). METHODS: By applying weighted gene co-expression network analysis (WGCNA), we asc...

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Detalles Bibliográficos
Autores principales: He, Jiaming, Luan, Tiankuo, Zhao, Gang, Yang, Yingxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658954/
https://www.ncbi.nlm.nih.gov/pubmed/38026246
http://dx.doi.org/10.2147/JIR.S436431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658954/
https://www.ncbi.nlm.nih.gov/pubmed/38026246
http://dx.doi.org/10.2147/JIR.S436431

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