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NeAT: a Nonlinear Analysis Toolbox for Neuroimaging
NeAT is a modular, flexible and user-friendly neuroimaging analysis toolbox for modeling linear and nonlinear effects overcoming the limitations of the standard neuroimaging methods which are solely based on linear models. NeAT provides a wide range of statistical and machine learning non-linear met...
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| Publicado no: | Neuroinformatics |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7498484/ https://ncbi.nlm.nih.gov/pubmed/32212063 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12021-020-09456-w |
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