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

<div>Drug sensitivity prediction. (a) Compounds predicted by cMAP to attenuate the dysregulation of genes observed in TACE nonresponders. The <i>x</i>- and <i>y</i>-axis labels correspond to the name and category of the compounds, respectively. The microhistograms on the top and right summarize related frequencies. (b, c) Summary of enriched pathways of drugs which are more effective in TACE responders and nonresponders. (d) TIDE score of TACE responders and nonresponders; lower TIDE score indicated better response to immunotherapy.</div>

Journal of Oncology

fig4

Figure 4

Figure 4: A 10-Gene Signature Identified by Machine Learning for Predicting the Response to Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma 

Figure 4 | A 10-Gene Signature Identified by Machine Learning for Predicting the Response to Transarterial Chemoembolization in Patients with Hepatocellular Carcinoma 