Combining WGCNA and machine learning to construct immune-related EMT patterns to predict HCC prognosis and immune microenvironment

Hepatocellular carcinoma (HCC) is a malignancy with a very high mortality rate. Because of its high heterogeneity, there is an urgent need to find biomarkers that accurately predict prognosis. Epithelial-mesenchymal transition (EMT) is closely associated with frequent recurrence and high mortality o...

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Detalles Bibliográficos
Autores principales: Sun, Yating, He, Shengfu, Tang, Mingyang, Zhang, Ding, Meng, Bao, Yu, Jiawen, Liu, Yanyan, Li, Jiabin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415538/
https://www.ncbi.nlm.nih.gov/pubmed/37480570
http://dx.doi.org/10.18632/aging.204898

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10415538/
https://www.ncbi.nlm.nih.gov/pubmed/37480570
http://dx.doi.org/10.18632/aging.204898

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