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SGPP: Spatial Gaussian Predictive Process Models for Neuroimaging Data()
The aim of this paper is to develop a spatial Gaussian predictive process (SGPP) framework for accurately predicting neuroimaging data by using a set of covariates of interest, such as age and diagnostic status, and an existing neuroimaging data set. To achieve better prediction, we not only delinea...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4134945/ https://ncbi.nlm.nih.gov/pubmed/24269800 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2013.11.018 |
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