Application of weighted co-expression network analysis and machine learning to identify the pathological mechanism of Alzheimer's disease.
Aberrant deposits of neurofibrillary tangles (NFT), the main characteristic of Alzheimer's disease (AD), are highly related to cognitive impairment. However, the pathological mechanism of NFT formation is still unclear. This study explored dierences in gene expression patterns in multiple brain regi...
| Published in: | Frontiers in Aging Neuroscience Vol. 14; pp. 1 - 11 |
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| Main Authors: | , , , , , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Frontiers Media S.A.
7/13/2022
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| Online Access: | View this record in EBSCOhost |