Fig. 6
Venn diagrams present number of differentially expressed (DE) genes in Alzheimer's disease as compared to controls in white matter region using weighted Bayesian random-effects models - Model 1: unweighted BRE with uniform (0,1) model (BRE1), Model 3: unweighted data with Gibb sampling and wP6 weighted between study variance model (BRE3), Model 6: wP6 weighted data with Gibb sampling and wP6 weighted between study variance model (BRE6). This weighted function was applied: \( {w}_{p6}={\left({\sigma}_{ig}^{2\left({w}_{p1}\right)}+{\widehat{\tau}}_g^2\right)}^{-1},{w}_{p1}\in \left\{{2}^{-{S}_{ij}},0.01{\tilde{P}}_{ij}\right\} \), \( {\tilde{P}}_{ij} \) denoted percent of present calls, Sij denoted standardized quality indicators of the jth sample in the ith study. Metadata A: GSE1297, GSE5281, and GSE29378; B: GSE1297, GSE5281, and GSE48350; C: GSE1297, GSE29378, and GSE48350; D: GSE1297, GSE5281, GSE29378, and GSE48350; and E: GSE5281, GSE29378, and GSE48350