Identification and Validation of the Most Prevalent Biomarkers in Hepatocellular Carcinoma
Author:
Affiliation:
1. Rajshahi University of Engineering and Technology,Department of Computer Science & Engineering,Rajshahi,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10440723/10440967/10441283.pdf?arnumber=10441283
Reference29 articles.
1. Hepatocellular carcinoma in the setting of alcohol-related liver disease
2. Risk Prediction Models for Post‐Operative Mortality in Patients With Cirrhosis
3. Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms
4. Identification and validation of core genes as promising diagnostic signature in hepatocellular carcinoma based on integrated bioinformatics approach
5. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data
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