Integrated genomic analysis for prediction of survival for patients with liver cancer using The Cancer Genome Atlas

Figure 1 Statistical process (algorithm). Cox regression screen and least absolute shrinkage and selection operator (LASSO) were performed to select significant prognostic variables. Then the concordance index (C-index) was calculated to evaluate the prognostic power. Prognostic models were built based on the arithmetic summation of the significant variables. Kaplan-Meier survival curve and log-rank test were performed to compare the survival difference. Then the heatmap was constructed and gene set enrichment analysis was performed for pathway analysis.