Additional file 1 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data

Additional file 1: Table S1. DeepProg performances when using a number of models ranging from 1 to 30. The Cox-PH log-rank p value (pval) and the C-index (CI) are calculated for two datasets: HCC and BRCA. Two validation datasets are used for HCC: LIRI and GSE, and four datasets for BRCA, named Anna, Patiwan, Miller, and Metabric datasets respectively.附加文件1：表S1。当使用1至30个模型时，DeepProg的性能表现。针对肝细胞癌（HCC）与乳腺癌（BRCA）两个数据集，计算了考克斯比例风险（Cox-PH）对数秩p值（pval）与一致性指数（C-index，CI）。其中肝细胞癌（HCC）采用两个验证数据集：LIRI与GSE；乳腺癌（BRCA）则使用四个验证数据集，分别为Anna、Patiwan、Miller及Metabric数据集。