Home » “WGCNA and Machine Learning Identify Six Potential HCC Biomarkers: AADAT, APOF, GPC3, LPA, MASP1, and NAT2 for Diagnosis, Prevention, and Treatment”

“WGCNA and Machine Learning Identify Six Potential HCC Biomarkers: AADAT, APOF, GPC3, LPA, MASP1, and NAT2 for Diagnosis, Prevention, and Treatment”

by satcit

https://pubmed.ncbi.nlm.nih.gov/38115320

This study used WGCNA and machine learning to identify six potential biomarkers for hepatocellular carcinoma (HCC), including AADAT, APOF, GPC3, LPA, MASP1, and NAT2, which may provide new targets for HCC diagnosis, prevention, and treatment.

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