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Figure 5 | BMC Genomics

Figure 5

From: Recurrence-associated pathways in hepatitis B virus-positive hepatocellular carcinoma

Figure 5

Cluster analysis of recurrence-related pathways. (A) Dendrogram of the clustering pattern measured from the matrix of principal components of 64 recurrence-associated pathways (p-value < 0.01) from HBV-HCC. Samples were classified into two subgroups: low-risk and high-risk. The black bar indicates patients with early recurrence within 2 years after surgery. Columns represent individual samples, and rows pathways. Red and green colors reflect high and low levels of optimal principal component scores, respectively, as indicated by scale bars. (B) Kaplan-Meier plots for recurrence rates of low- and high-risk subgroups. P-values were obtained using the log-rank test. (C) Cross-validation of the low- and high-risk subgroups using six different algorithms: compound covariate (CC), diagonal linear discriminant (DLD), 1-nearest neighbor (1-NN), 3-nearest neighbor (3-NN), nearest centroid (NC) and support vector machine (SVM), implemented in BRB ArrayTools. (D) ROC curve computed with the compound covariate validation algorithm for subgroup classification. (E and F) Dendrogram of the clustering pattern measured from the matrix of principal components of public HBV-HCC (E) or public HCV-HCC (F) on the 64 pathways associated with recurrence in our HBV-HCC dataset.

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