Results 11 to 20 of about 137,290 (281)

Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data. [PDF]

J Multivar Anal, 2022
It is quite common for functional data arising from imaging data to assume values in infinite-dimensional manifolds. Uncovering associations between two or more such nonlinear functional data extracted from the same object across medical imaging ...
Cho MH, Kurtek S, Bharath K.
europepmc   +5 more sources

Robust smoothed canonical correlation analysis for functional data [PDF]

Statistica Sinica, 2021
This paper provides robust estimators for the first canonical correlation anddirections of random elements on Hilbert separable spaces by using robust association and scale measures combined with basis expansion and/or penalizations as a regularization ...
Kudraszow, Nadia Laura, Boente Boente, Graciela Lina   +1 more
core   +5 more sources

The Smoothing Artifact of Spatially Constrained Canonical Correlation Analysis in Functional MRI [PDF]

International Journal of Biomedical Imaging, 2012
A wide range of studies show the capacity of multivariate statistical methods for fMRI to improve mapping of brain activations in a noisy environment. An advanced method uses local canonical correlation analysis (CCA) to encompass a group of neighboring ...
Dietmar Cordes, Mingwu Jin, Tim Curran, Rajesh Nandy   +3 more
doaj   +3 more sources

Functional generalized canonical correlation analysis for studying multiple longitudinal variables

Biometrics
International audienceABSTRACT In this paper, we introduce functional generalized canonical correlation analysis, a new framework for exploring associations between multiple random processes observed jointly.
Tenenhaus, Arthur, Sort, Lucas, Le Brusquet, Laurent   +2 more
core   +4 more sources

Robust sieve estimators for functional canonical correlation analysis [PDF]

Journal of Multivariate Analysis, 2019
In this paper, we propose robust estimators for the first canonical correlation and directions of random elements on Hilbert separable spaces by combining sieves and robust association measures, leading to Fisher-consistent estimators for appropriate ...
Kudraszow, Nadia, Kudraszow, Nadia Laura, Alvarez, Agustin, Agustín Alvarez, Graciela Boente, Boente Boente, Graciela Lina, Nadia Kudraszow, Boente, Graciela   +7 more
core   +3 more sources

Functional brain networks and schizophrenia analysis with fMRI by Multiset Canonical Correlation Analysis

2013 2nd International Conference on Advances in Biomedical Engineering, 2013
In this work the multivariate technique called Multiset Canonical Correlation Analysis (M-CCA) is applied to study a group of functional Magnetic Resonance Imaging (fMRI) datasets acquired during a set of working memory (WM) tasks.
Luigi Mascolo, Taurisano, P., Fazio, L., Nico, G., Giuseppe Blasi, GUCCIONE, Pietro, Pietro Guccione, Blasi, G., Alessandro Bertolino, Bertolino, A., Paolo Taurisano, Leonardo Fazio, Mascolo, L., Giovanni Nico   +13 more
core   +3 more sources

fCCAC: functional canonical correlation analysis to evaluate covariance between nucleic acid sequencing datasets. [PDF]

Bioinformatics, 2017
Computational evaluation of variability across DNA or RNA sequencing datasets is a crucial step in genomic science, as it allows both to evaluate reproducibility of biological or technical replicates, and to compare different datasets to identify their ...
Madrigal P.
europepmc   +2 more sources

Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging [PDF]

Frontiers in Neuroinformatics, 2016
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.
Natalia Y Bilenko, Jack L Gallant, Jack L Gallant   +2 more
doaj   +2 more sources

Functional ultrasound (fUS) detects mild cerebral alterations using canonical correlation analysis denoising and dynamic functional connectivity analysis

Imaging Neuroscience
International audienceAbstract Functional ultrasound (fUS) is a promising imaging method for evaluating brain function in animals and human neonates. fUS images local cerebral blood volume changes to map brain activity.
Faure, Flora, Bokobza, Cindy, Guenoun, David, van Steenwinckel, Juliette, Gressens, Pierre, Demené, Charlie   +5 more
core   +3 more sources

Comparison of penalty functions for sparse canonical correlation analysis [PDF]

Computational Statistics & Data Analysis, 2012
Canonical correlation analysis (CCA) is a widely used multivariate method for assessing the association between two sets of variables. However, when the number of variables far exceeds the number of subjects, such in the case of large-scale genomic studies, the traditional CCA method is not appropriate.
Prabhakar Chalise, Brooke L. Fridley
openaire   +2 more sources