Cargando…
Radial Basis Function-Sparse Partial Least Squares for Application to Brain Imaging Data
Magnetic resonance imaging (MRI) data is an invaluable tool in brain morphology research. Here, we propose a novel statistical method for investigating the relationship between clinical characteristics and brain morphology based on three-dimensional MRI data via radial basis function-sparse partial...
Autores principales: | Yoshida, Hisako, Kawaguchi, Atsushi, Tsuruya, Kazuhiko |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3666301/ https://www.ncbi.nlm.nih.gov/pubmed/23762188 http://dx.doi.org/10.1155/2013/591032 |
Ejemplares similares
-
A variant of sparse partial least squares for variable selection and data exploration
por: Olson Hunt, Megan J., et al.
Publicado: (2014) -
A multiple hold-out framework for Sparse Partial Least Squares
por: Monteiro, João M., et al.
Publicado: (2016) -
Sparse partial least squares regression for simultaneous dimension reduction and variable selection
por: Chun, Hyonho, et al.
Publicado: (2010) -
Multiset sparse partial least squares path modeling for high dimensional omics data analysis
por: Csala, Attila, et al.
Publicado: (2020) -
A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data
por: Fu, Guang-Hui, et al.
Publicado: (2019)