On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations

Abstract Associations between datasets can be discovered through multivariate methods like Canonical Correlation Analysis (CCA) or Partial Least Squares (PLS). A requisite property for interpretability and generalizability of CCA/PLS associations is stability of their feature patterns. However, stab...

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Autores principales:	Markus Helmer, Shaun Warrington, Ali-Reza Mohammadi-Nejad, Jie Lisa Ji, Amber Howell, Benjamin Rosand, Alan Anticevic, Stamatios N. Sotiropoulos, John D. Murray
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Nature Portfolio 2024-02-01
Colección:	Communications Biology
Acceso en línea:	https://doi.org/10.1038/s42003-024-05869-4
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