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Fig. 6 | BMC Pediatrics

Fig. 6

From: Diagnostic model based on bioinformatics and machine learning to distinguish Kawasaki disease using multiple datasets

Fig. 6

Gene expression validation and performance evaluation of classification model by genes from the neuralKD model. a Expression of VPS9D1, CACNA1E, SH3GLB1, RAB32, ADM, GYG1, PGS1, and HIST2H2AC in GSE63881. Blue: Convalescent group and Red: Kawasaki disease group. b AUC verification results with the GSE63881 dataset, which achieved an AUC of 0.945. c Expression of VPS9D1, CACNA1E, SH3GLB1, RAB32, ADM, GYG1, PGS1, and HIST2H2AC in GSE73463. Blue: Convalescent group and Red: Kawasaki disease group. d AUC verification results with the GSE73463 dataset, which achieved an AUC of 0.95

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