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Finding Imaging Patterns of Structural Covariance via Non-Negative Matrix Factorization
In this paper, we investigate the use of Non-Negative Matrix Factorization (NNMF) for the analysis of structural neuroimaging data. The goal is to identify the brain regions that co-vary across individuals in a consistent way, hence potentially being part of underlying brain networks or otherwise in...
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| Publicado no: | Neuroimage |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4357179/ https://ncbi.nlm.nih.gov/pubmed/25497684 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2014.11.045 |
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