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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 Candi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2eaa45b46653474a87b92976b1bd86df

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

About this item

Full title

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

Publisher

Turkey: Galenos Publishing House

Journal title

Medeniyet medical journal, 2022-09, Vol.37 (3), p.255-263

Language

English

Formats

Publication information

Publisher

Turkey: Galenos Publishing House

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

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

How to access this item