A Support Vector Machine Model Predicting the Risk of Duodenal Cancer in Patients with Familial Adenomatous Polyposis at the Transcript Levels

<div>The risk of adenocarcinoma in FAP based on an SVM: (a) FAP prediction; (b) adenocarcinoma prediction; (c) training result of FAP in the GSE65270 dataset; (d) training result of adenocarcinoma in the GSE65270 dataset.</div>

BioMed Research International

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Figure 10

Figure 10: A Support Vector Machine Model Predicting the Risk of Duodenal Cancer in Patients with Familial Adenomatous Polyposis at the Transcript Levels 

Figure 10 | A Support Vector Machine Model Predicting the Risk of Duodenal Cancer in Patients with Familial Adenomatous Polyposis at the Transcript Levels 