A modified FGL sparse canonical correlation analysis for the identification of Alzheimer's disease biomarkers

A modified FGL sparse canonical correlation analysis for the identification of Alzheimer's disease biomarkers

Imaging genetics mainly finds the correlation between multiple datasets, such as imaging and genomics. Sparse canonical correlation analysis (SCCA) is regarded as a useful method that can find connections between specific genes, SNPs, and diseased brain regions. Fused pairwise group lasso-SCCA (FGL-...

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Bibliographic Details
Main Authors: Shuaiqun Wang, Huiqiu Chen, Wei Kong, Xinqi Wu, Yafei Qian, Kai Wei
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Electronic Research Archive
Subjects:
imaging genetics
biomarkers
fgl-jsccagnr
regularization penalty term
clinical data
Online Access:https://aimspress.com/article/doi/10.3934/era.2023044?viewType=HTML

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https://aimspress.com/article/doi/10.3934/era.2023044?viewType=HTML

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