Fig. 1
From: Artificial neural network classifier predicts neuroblastoma patients’ outcome
Schematic representation of the procedures used to build the NB-hypo classifier. The gene expression of 182 neuroblastoma tumors was measured by microarray on Affymetrix GeneChip HG-U133plus2.0. The dataset was divided into training (100 patients) and test (82 patients) sets. ANN model was applied to the training set in a 100 loops cross-validation scheme. The classifier was then applied to the test set. GSEA evaluated the enrichment of hypoxia related gene sets in the groups defined by the NB-hypo classifier