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Integrative Transcriptomics and Machine Learning Reveal a Robust Biomarker Signature for Alzheimer’s Disease

2026-05-29

Abstract excerpt

<title>Abstract</title> <p>Background: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and complex molecular alterations involving immune activation, synaptic dysfunction, and metabolic imbalance. Despite extensive research, robust and biologically interpretable transcriptomic signatures capable of reliably distinguishing AD from cognitively normal controls...

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Literature Corpus work
7f979d69-f5c9-5815-a450-bed40c40cb32
DOI
10.21203/rs.3.rs-9839534/v1
Open publication

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Integrative Transcriptomics and Machine Learning Reveal a Robust Biomarker Signature for Alzheimer’s DiseaseDOI 10.21203/rs.3.rs-9839534/v1
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