A whitening approach to probabilistic canonical correlation analysis for omics data integration-Reference-Cited by-同舟云学术

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

Published:2019-01-09 Issue:1 Volume:20 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Jendoubi Takoua^ORCID,Strimmer Korbinian

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

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

Reference27 articles.

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2. Härdle WK, Simar L. Canonical correlation analysis. In: Applied Multivariate Statistical Analysis. Chap. 16. Berlin: Springer: 2015. p. 443–54.

3. Cao D-S, Liu S, Zeng W-B, Liang Y-Z. Sparse canonical correlation analysis applied to -omics studies for integrative analysis and biomarker discovery. J Chemometrics. 2015; 29:371–8.

4. Hong S, Chen X, Jin L, Xiong M. Canonical correlation analysis for RNA-seq co-expression networks. Nucleic Acids Res. 2013; 41:95.

5. Bach FR, Jordan MI. A probabilistic interpretation of canonical correlation analysis. Technical Report No. 688, Department of Statistics. Berkeley: University of California; 2005.

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