Multivariate pattern analysis: a method and software to reveal, quantify, and visualize predictive association patterns in multicollinear data

Multivariate pattern analysis: a method and software to reveal, quantify, and visualize predictive association patterns in multicollinear data

Abstract Background Strongly multicollinear covariates, such as those typically represented in metabolomics applications, represent a challenge for multivariate regression analysis. These challenges are commonly circumvented by reducing the number of covariates to a subset of linearly independent va...

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Bibliographic Details
Main Authors: Tim U. H. Baumeister, Eivind Aadland, Roger G. Linington, Olav M. Kvalheim
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Bioinformatics
Subjects:
Multivariate pattern analysis
Multicollinear covariates
Net association patterns
Latent variable projection
Covariate projection
Target projection
Online Access:https://doi.org/10.1186/s12859-024-05660-6

Internet

https://doi.org/10.1186/s12859-024-05660-6

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