Exploration of Potential Biomarkers and Immune Landscape for Hepatoblastoma: Evidence from Machine Learning Algorithm

This study aimed to investigate the immune landscape in hepatoblastoma (HB) based on deconvolution methods and identify a biomarkers panel for diagnosis based on a machine learning algorithm. Firstly, we identified 277 differentially expressed genes (DEGs) and differentiated and functionally identif...

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Detalles Bibliográficos
Autores principales: Zhou, Peng, Gao, Shanshan, Hu, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357682/
https://www.ncbi.nlm.nih.gov/pubmed/35958911
http://dx.doi.org/10.1155/2022/2417134

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357682/
https://www.ncbi.nlm.nih.gov/pubmed/35958911
http://dx.doi.org/10.1155/2022/2417134

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