Sparse multiway canonical correlation analysis for multimodal stroke recovery data
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Publication:6625436
DOI10.1002/bimj.202300037zbMATH Open1547.62196MaRDI QIDQ6625436
Subham Das, Cheolwoo Park, Franklin D. West
Publication date: 28 October 2024
Published in: Biometrical Journal (Search for Journal in Brave)
Cites Work
- A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
- Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data
- Sparse inverse covariance estimation with the graphical lasso
- The Adaptive Lasso and Its Oracle Properties
- Functional multiple-set canonical correlation analysis
- Regularized multiple-set canonical correlation analysis
- Quantifying the Association between Gene Expressions and DNA-Markers by Penalized Canonical Correlation Analysis
- Sparse Canonical Correlation Analysis with Application to Genomic Data Integration
- Sparse canonical correlation analysis from a predictive point of view
- Sparsity and Smoothness Via the Fused Lasso
- Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association
- Some Applications of the Singular Decomposition of a Matrix
- RELATIONS BETWEEN TWO SETS OF VARIATES
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