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Integrating WGCNA, machine learning, and single-cell sequencing analysis to elucidate the molecular mechanism of SREBF1 in Alzheimer’s disease: evidence from Mendelian randomization and exploration of potential therapeutic agents targeting SREBF1 via molecular docking

2026-07-30

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<title>Abstract</title> <p> <bold>Objective</bold> The purpose of this research is to investigate the molecular mechanisms of the senescence-related gene ( <italic>SREBF1</italic> ) in Alzheimer's disease (AD). <bold>Methods</bold> A consensus clustering approach was applied to 8 AD datasets to discern different subtypes. Then, weighted correlation network and machine learning analysis were employed to scre...

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Literature Corpus work
3dfa77f4-9253-5183-a1d9-5d49b9a1676e
DOI
10.21203/rs.3.rs-10399478/v1
Open publication

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Integrating WGCNA, machine learning, and single-cell sequencing analysis to elucidate the molecular mechanism of SREBF1 in Alzheimer’s disease: evidence from Mendelian randomization and exploration of potential therapeutic agents targeting SREBF1 via molecular dockingDOI 10.21203/rs.3.rs-10399478/v1
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