Fig. 7: PLS-DA models using blood biomarkers to predict AD status in other brain regions. | npj Systems Biology and Applications

Fig. 7: PLS-DA models using blood biomarkers to predict AD status in other brain regions.

From: Translational disease modeling of peripheral blood identifies type 2 diabetes biomarkers predictive of Alzheimer’s disease

Fig. 7

a Z-score of significant genes identified in the human EC dataset. b PLS-DA using the significant genes on the EC data with loadings on LV1 and LV2. c Z-score of significant genes identified in the human SFG dataset. d PLS-DA using the significant genes on the SFG data with loadings on LV1 and LV2. e Z-score of significant genes identified in the human PoCG dataset. f PLS-DA using the significant genes on the PoCG data with loadings on LV1 and LV2. For all brain regions, the significance of the genes was determined by a Mann–Whitney adjusted by Benjamini–Hochberg (p adjusted <0.20) across AD and control groups.

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