Pyrcca: Regularized Kernel Canonical Correlation Analysis in Python and Its Applications to Neuroimaging

In this article we introduce Pyrcca, an open-source Python package for performing canonical correlation analysis (CCA). CCA is a multivariate analysis method for identifying relationships between sets of variables. Pyrcca supports CCA with or without regularization, and with or without linear, polyn...

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Vydané v:	Frontiers in neuroinformatics Ročník 10; s. 49
Hlavní autori:	Bilenko, Natalia Y., Gallant, Jack L.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Research Foundation 22.11.2016 Frontiers Media S.A
Predmet:	Analysis of covariance Bioinformatics Brain architecture Brain mapping canonical correlation analysis Correlation analysis covariance analysis cross-subject alignment Datasets Eigenvalues fMRI Functional magnetic resonance imaging Medical imaging Methods Multivariate analysis Neuroimaging Neuroscience partial least squares regression Principal components analysis python Registration Retina United States > US California fMRI covariance analysis cross-subject alignment partial least squares regression canonical correlation analysis Python
ISSN:	1662-5196, 1662-5196
On-line prístup:	Získať plný text
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