Fig. 2: Machine learning to identify hub genes in ASD. | Translational Psychiatry

Fig. 2: Machine learning to identify hub genes in ASD.

From: Integrative analysis identifies IL-6/JUN/MMP-9 pathway destroyed blood-brain-barrier in autism mice via machine learning and bioinformatic analysis

Fig. 2

A Volcano plots of DEGs in GSE28521, |log2 fold change (FC)|>0.2 and p < 0.05 as selection criteria. B 39 intersection genes of DEGs and Tight junction related genes. C Protein-protein internet(PPI) of 39 intersection genes. D LASSO regression algorithm selected 6 genes. E 17 hub genes were screened out by the XGB method. F 10 genes were extracted by using the SVM-RFE algorithm. G Venn network to intersect 3 gene subsets selected by machine learning. H The expression of 4 hub genes in ASD and TD (n = 13). Significant differences are indicated by **P < 0.01, ***P < 0.01, compared with ASD and TD group. I ROC curve of 4 hub gene.

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