Identifying Biomarkers of Alzheimer’s Disease via a Novel Structured Sparse Canonical Correlation Analysis Approach
Abstract
Using correlation analysis to study the potential connection between brain genetics and imaging has become an effective method to understand neurodegenerative diseases. Sparse canonical correlation analysis (SCCA) makes it possible to study high-dimensional genetic information. The traditional SCCA methods can only process single-modal genetic and image data, which to some extent weaken the close connection of the brain's biological network. In...
Paper Details
Title
Identifying Biomarkers of Alzheimer’s Disease via a Novel Structured Sparse Canonical Correlation Analysis Approach
Published Date
Sep 27, 2021
Volume
72
Issue
2
Pages
323 - 335
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