Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candi...
Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candidate Biomarkers
About this item
Full title
Author / Creator
Publisher
Turkey: Galenos Publishing House
Journal title
Language
English
Formats
Publication information
Publisher
Turkey: Galenos Publishing House
Subjects
More information
Scope and Contents
Contents
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 HCC.
This case-control study used the open-access gene expre...
Alternative Titles
Full title
Machine Learning-based Prediction of HBV-related Hepatocellular Carcinoma and Detection of Key Candidate Biomarkers
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_2eaa45b46653474a87b92976b1bd86df
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2eaa45b46653474a87b92976b1bd86df
Other Identifiers
ISSN
2149-2042
E-ISSN
2149-4606
DOI
10.4274/MMJ.galenos.2022.39049