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Article

Identifying Biomarkers of Alzheimer's Disease via a Novel Structured Sparse Canonical Correlation Analysis Approach.

Journal of molecular neuroscience : MN - 1 Feb 2022

Wang Shuaiqun, Qian Yafei, Wei Kai, Kong Wei

Abstract excerpt

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...

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PMID: 34570360
DOI: 10.1007/s12031-021-01915-6

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