Applying machine learning to high-dimensional proteomics datasets for the identification of Alzheimer’s disease biomarkers
Abstract Purpose This study explores the application of machine learning to high-dimensional proteomics datasets for identifying Alzheimer’s disease (AD) biomarkers. AD, a neurodegenerative disorder affecting millions worldwide, necessitates early and accurate diagnosis for effective management. Met...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
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| Series: | Fluids and Barriers of the CNS |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12987-025-00634-z |
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