<p>The top five topics for each canonical variate exceeding a loading value of 0.2 are shown in the table.</p
Canonical correlation analysis (CCA) is a multivariate statistical method which describes the associ...
Canonical correlation analysis (CCA) describes the relationship between two sets of variables by fin...
Canonical correlation (CC) analysis is discussed with a view toward providing an intuitive understan...
<p>The top five topics for each canonical variate exceeding a loading value of 0.2 are shown in the ...
International audienceThe 21st century marks the emergence of “big data” with a rapid increase in th...
Canonical Correlation Analysis (CCA) is a multivariate technique that takes two datasets and forms t...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
<p>Top row: hard assignments of activations to topics; each point represents a single activation fro...
<p>A) Ranked canonical correlations between RNA expression and protein expression, compared with ran...
Canonical correlation analysis (CCA) describes the associations between two sets of variables by max...
Canonical correlation analysis (CCA) describes the associations between two sets of variables by max...
<p>Correlations between the variables and their canonical variates (A); Scatterplot showing the cano...
We review [4] a new method of performing Canonical Correlation Analysis with Artificial Neural Netw...
Abstract Background We generalized penalized canonical correlation analysis for analyzing microarray...
In neuroimaging studies of human cognitive abilities, brain activation patterns that include regions...
Canonical correlation analysis (CCA) is a multivariate statistical method which describes the associ...
Canonical correlation analysis (CCA) describes the relationship between two sets of variables by fin...
Canonical correlation (CC) analysis is discussed with a view toward providing an intuitive understan...
<p>The top five topics for each canonical variate exceeding a loading value of 0.2 are shown in the ...
International audienceThe 21st century marks the emergence of “big data” with a rapid increase in th...
Canonical Correlation Analysis (CCA) is a multivariate technique that takes two datasets and forms t...
Canonical correlation analysis is an extremely useful technique, especially in biomedical investigat...
<p>Top row: hard assignments of activations to topics; each point represents a single activation fro...
<p>A) Ranked canonical correlations between RNA expression and protein expression, compared with ran...
Canonical correlation analysis (CCA) describes the associations between two sets of variables by max...
Canonical correlation analysis (CCA) describes the associations between two sets of variables by max...
<p>Correlations between the variables and their canonical variates (A); Scatterplot showing the cano...
We review [4] a new method of performing Canonical Correlation Analysis with Artificial Neural Netw...
Abstract Background We generalized penalized canonical correlation analysis for analyzing microarray...
In neuroimaging studies of human cognitive abilities, brain activation patterns that include regions...
Canonical correlation analysis (CCA) is a multivariate statistical method which describes the associ...
Canonical correlation analysis (CCA) describes the relationship between two sets of variables by fin...
Canonical correlation (CC) analysis is discussed with a view toward providing an intuitive understan...
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