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Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension Reduction
Canonical Correlation Analysis (CCA) has been widely applied to study correlations between neuroimaging data and behavioral data. Practical use of CCA typically requires dimensionality reduction with, for example, Principal Components Analysis (PCA), however, this can result in CCA components that a...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262103/ https://www.ncbi.nlm.nih.gov/pubmed/35812221 http://dx.doi.org/10.3389/fnins.2022.851827 |