Fig. 4: The pseudo-temporal trajectories from the forward pass of ROSMAP model and mapping to the same 3D space as ROSMAP (DLPFC only), based on the transcriptome from four regions of MSBB cohort and the SI correlation with phenotypical data from all three models’ predictions. | npj Aging

Fig. 4: The pseudo-temporal trajectories from the forward pass of ROSMAP model and mapping to the same 3D space as ROSMAP (DLPFC only), based on the transcriptome from four regions of MSBB cohort and the SI correlation with phenotypical data from all three models’ predictions.

From: Interpretable deep learning framework for understanding molecular changes in human brains with Alzheimer’s disease: implications for microglia activation and sex differences

Fig. 4: The pseudo-temporal trajectories from the forward pass of ROSMAP model and mapping to the same 3D space as ROSMAP (DLPFC only), based on the transcriptome from four regions of MSBB cohort and the SI correlation with phenotypical data from all three models’ predictions.

A–D Four regions (FP, STG, PHG, and IFG) mapped to DLPFC. E, F Spider plots showing the linear correlations of SIs with phenotypical traits from all three models.

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