A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease
Fig 4
The false discovery rate and enrichment ratio value for upregulated pathways.
The false discovery rate (FDR) and enrichment ratio (ER) values for the selected pathways, which were estimated by the gene list of each subset (Up, P1, P2, P3). Each pathway's heatmap was estimated by averaging the transition curves of the genes belonging to the Up list. Some pathways exist in which the ER values are very large but whose FDR values are not significant. This is the reason why the number of genes in subset lists such as P1 and the annotated genes in some pathways (such as cell adhesion mediated by integrin) are small; consequently a few overlapping genes seem to enhance the ER values. Conversely, the pathways with many annotated genes tend to have very small FDR values even at low enrichment ratios, such as phagocytosis. Hence, we present both the FDR and ER simultaneously.