Fig. 1

Barcharts of the average results obtained by our pan-cancer signature on each cancer type. Adrenocortical cancer: results on the dataHeaton2011 dataset. Bladder cancer: results on the dataReister2012 dataset. Breast cancer: average results on 18 breast cancer datasets. Colorectal cancer: average results on 11 colorectal cancer datasets. Leukemia: average results on 5 leukemia datasets. Lung cancer: average results on 14 lung cancer datasets. Lymphoma: average results on 6 lymphoma datasets. Multiple myeloma: average results on 3 multiple myeloma datasets. Neuroblastoma: results on the dataHiyama2009 dataset. Ovarian cancer: results on the dataUehara2015 dataset. Skin cancer: results on the dataBogunovic2009 dataset. Stomach cancer: results on the dataPasini2021 dataset. We reported the complete suvival prediction results in Table 2. normMCC: normalized Matthews correlation coefficient (\(normMCC = (MCC + 1) / 2\)). TPR: true positive rate, sensitivity, recall. TNR: true negative rate, specificity. PPV: positive predictive value, precision. NPV: negative predictive value. PR: precision recall curve. ROC: receiver operating characteristic curve. AUC: area under the curve. normMCC, F\(_1\) score, accuracy, TPR, TNR, PPV, NPV, PR AUC, and ROC AUC have worst value 0 and best value 1. The formulas of MCC, F\(_1\) score, accuracy, TPR, TNR, PPV, NPV, PR AUC and ROC AUC can be found in the Supplementary information. We report additional information about these datasets in Table 1