A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease
Fig 3
Transition curves of gene expression levels.
(A-B) Transition curves of selected 17 genes from 7M WT to 7M AD: some up- and downregulated genes, which are known to be highly related or have similar names, were selected from pathways such as cholesterol metabolism (Apoe, Abca1), microglia pathogen phagocytosis pathway (Trem2, Tyrobp), complement and coagulation cascades (C1qa, C1qb, C1qc), focal adhesion (Col4a1, Col4a2), cholinergic synapse (Kcnq3, Kcnq5, Prkcb, Prkcg), TCA cycle (Mdh1, Mdh2), and dopaminergic synapse (Mapk8, Mapk10); (C) Each curve belongs to a pattern when r (the correlation coefficient with the predefined red colored curve patterns which we proposed) is higher than 0.95 or when the maximum r is above 0.90; (D) Venn diagrams for the number of transition curves belonging to each pattern. The total number of curves in the six patterns is 1,191 (649 upregulated, 542 downregulated). Among the 1,208 DEGs, seventeen genes could not be classified into the six patterns.