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Group-PCA for very large fMRI datasets
Increasingly-large datasets (for example, the resting-state fMRI data from the Human Connectome Project) are demanding analyses that are problematic because of the sheer scale of the aggregate data. We present two approaches for applying group-level PCA; both give a close approximation to the output...
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| Publicado no: | Neuroimage |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Academic Press
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4289914/ https://ncbi.nlm.nih.gov/pubmed/25094018 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.07.051 |
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