Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candidate Biomarkers

OBJECTIVE: This study aimed to classify open-access gene expression data of patients with hepatitis B virus-related hepatocellular carcinoma (HBV + HCC) and chronic HBV without HCC (HBV alone) using the XGBoost method, one of the machine learning methods, and reveal important genes that may cause HC...

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Detalles Bibliográficos
Autores principales: KUCUKAKCALI, Zeynep, AKBULUT, Sami, COLAK, Cemil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500333/
https://www.ncbi.nlm.nih.gov/pubmed/36128800
http://dx.doi.org/10.4274/MMJ.galenos.2022.39049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500333/
https://www.ncbi.nlm.nih.gov/pubmed/36128800
http://dx.doi.org/10.4274/MMJ.galenos.2022.39049

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