Our predicted alterations showed highly significant overlap with reported metabolomic alterations in both fluids (p-values: 8.4e −26 and 1.06e −15 in CSF and blood, respectively).
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Integrating transcriptomics with metabolic modeling predicts biomarkers and drug targets for Alzheimer's disease.
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