Additional file 1: of Artificial neural network classifier predicts neuroblastoma patients’ outcome

Gene sets utilized in the GSEA analysis. The table shows a list of 14 hypoxia-related gene sets and the relative number of probe sets. The gene sets used in the analysis belong to the C2.CGP collection and were obtained by the GSEA MSigDB v5 database [54]. The gene sets were selected inputting the keyword “Hypoxia” in the MSigDB and filtering out those having less than 20 probe sets and more 300 probe sets. (PDF 58 kb

Additional file 2: of Artificial neural network classifier predicts neuroblastoma patients’ outcome

Performance of learning algorithms in neuroblastoma patients’ classification. The table shows the performance of MLP (multi-layer perceptron), SVM (support vector machine), LOR (logistic regression) and NAB (naïve Bayesian) algorithms assessed by leave-one-out cross validation in the training set. (PDF 60 kb