Fig. 1 | Scientific Reports

Fig. 1

From: Unveiling disulfidptosis-related biomarkers and predicting drugs in Alzheimer’s disease

Fig. 1

The workflow of the study. This study analyzed data from GSE33000 and GSE122063 for identifying DEGs. Intersecting these DEGs revealed 136 DEGs, 90 of which were associated with disulfidptosis-related genes. These 90 DEGs were subjected to enrichment analysis. Five hub genes were identified by randomforest for machine learning model construction and validation. A GAT_GCN model predicted affinities, validated by molecular docking.

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