Research Article

Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer

Figure 2

Establishment of a gene expression signature for overall survival prediction in the training cohort. (a) Hierarchical clustering shows the collinear expression of the DEGs. A correlation matrix heatmap of DEGs in the training cohort, in which each cell represents the Pearson correlation between the row and column of DEGs, the heatmap bar color along with the change of correlation coefficient from -1 to 1; (b, c) selection of the OS-associated genes by the LASSO Cox regression model. LASSO coefficient profiles of 441 differentially expressed associated genes. Each curve corresponds to a gene; the vertical line is drawn at the value chosen by 10-fold cross-validation.
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