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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Veröffentlicht in:	Frontiers in neuroinformatics Jg. 10; S. 49
Hauptverfasser:	Bilenko, Natalia Y., Gallant, Jack L.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 22.11.2016 Frontiers Media S.A
Schlagworte:	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
Online-Zugang:	Volltext
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