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

<div>Significant differentially enriched pathways between TACE responders and nonresponders. The TOP7 pathways were remarkably upregulated among TACE nonresponders while the bottom 5 pathways were abnormally enriched in TACE responders.</div>

Journal of Oncology

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Figure 2: A 10-Gene Signature Identified by Machine Learning for Predicting the Response to Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma 

Figure 2 | A 10-Gene Signature Identified by Machine Learning for Predicting the Response to Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma 