A 10-Gene Signature Identified by Machine Learning for Predicting the Response to Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma.

Yiyang TangYanqin WuMiao XueBowen ZhuWenzhe Fan Jiaping Li

Published in: Journal of oncology (2022)

The model based on expression data of 10 genes could potentially predict HCC patients' response and prognosis after TACE treatment. The discriminating power was TACE-specific.

Keyphrases

machine learning
end stage renal disease
genome wide
ejection fraction
newly diagnosed
poor prognosis
chronic kidney disease
big data
peritoneal dialysis
genome wide identification
artificial intelligence
dna methylation
transcription factor
combination therapy
binding protein
genome wide analysis
liver metastases