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Permutation inference for canonical correlation analysis
Canonical correlation analysis (CCA) has become a key tool for population neuroimaging, allowing investigation of associations between many imaging and non-imaging measurements. As age, sex and other variables are often a source of variability not of direct interest, previous work has used CCA on re...
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| 發表在: | Neuroimage |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Academic Press
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7573815/ https://ncbi.nlm.nih.gov/pubmed/32603857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2020.117065 |
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