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Differentiation of MCI due to AD and CN subjects by machine learning of CSF proteomic features
(A) Top 19 proteins prioritized by random forest analysis ranked by the mean decrease in accuracy.
(B) ROC curve of the random forest model.
(C) Expression level change (Z scored original value) of 8 core proteins with significant differences between patients with MCI due to AD and CN participants in both TMT-based and PRM proteomic analyses. p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.005.
