Conditional canonical correlation estimation based on covariates with random forests
Abstract Motivation Investigating the relationships between two sets of variables helps to understand their interactions and can be done with canonical correlation analysis (CCA). However, the correlation between the two sets can sometimes depend on a third set of covariates, often subject-related o...
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Published in | Bioinformatics (Oxford, England) Vol. 37; no. 17; pp. 2714 - 2721 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Oxford University Press
09.09.2021
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Online Access | Get full text |
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