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

Figure 6

Differential expression gene clustering using heat map. The differentially expressed genes between normal samples and FAP or adenocarcinoma samples were used to construct expression matrices, and -score was used for data standardization. The samples and genes were clustered by the Euclidean distance. At the top of the heat map, sample type is shown.