A whitening approach to probabilistic canonical correlation analysis for omics data integration

A whitening approach to probabilistic canonical correlation analysis for omics data integration

Abstract Background Canonical correlation analysis (CCA) is a classic statistical tool for investigating complex multivariate data. Correspondingly, it has found many diverse applications, ranging from molecular biology and medicine to social science and finance. Intriguingly, despite the importance...

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Bibliographic Details
Main Authors: Takoua Jendoubi, Korbinian Strimmer
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BMC Bioinformatics
Subjects:
Multivariate analysis
Probabilistic canonical correlation analysis
Data integration
Online Access:http://link.springer.com/article/10.1186/s12859-018-2572-9

Internet

http://link.springer.com/article/10.1186/s12859-018-2572-9

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