ArticleBMC bioinformatics2019
A whitening approach to probabilistic canonical correlation analysis for omics data integration.
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Diagnosing Anaerobic Digesters' Function and Performance: From Meta-Omics to Integrated Meta-Omics Analyses.Environmental microbiology reports · 2026Review
- Second-order threat conditioning in the amygdala-posterior piriform cortex network.Communications biology · 2025Article
- Inferring directed spectral information flow between mixed-frequency time series.Research square · 2025Article
- A guided network estimation approach using multi-omic information.BMC bioinformatics · 2024Article
- MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms.Nature communications · 2023Article
- Multivariate analytical approaches for investigating brain-behavior relationships.Frontiers in neuroscience · 2023Article
- SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration.Journal of computational biology : a journal of computational molecular cell biology · 2022Article
- Autoantibodies targeting GPCRs and RAS-related molecules associate with COVID-19 severity.Nature communications · 2022Article
- Severe COVID-19 Shares a Common Neutrophil Activation Signature with Other Acute Inflammatory States.Cells · 2022Article
- The Effect of Neuroepo on Cognition in Parkinson's Disease Patients Is Mediated by Electroencephalogram Source Activity.Frontiers in neuroscience · 2022Article
- The network interplay of interferon and Toll-like receptor signaling pathways in the anti-Candida immune response.Scientific reports · 2021Article
- The relationship between cytokine and neutrophil gene network distinguishes SARS-CoV-2-infected patients by sex and age.JCI insight · 2021Article
- Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer.Metabolites · 2021Review
- Article
- Quantitative Analysis of a Weak Correlation between Complicated Data on the Basis of Principal Component Analysis.Journal of analytical methods in chemistry · 2021Article
- Integrating transcriptome and metabolome reveals molecular networks involved in genetic and environmental variation in tobacco.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundCanonical 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 and pervasiveness of CCA, only recently a probabilistic understanding of CCA is developing, moving from an algorithmic to a model-based perspective and enabling its application to large-scale settings.
resultsHere, we revisit CCA from the perspective of statistical whitening of random variables and propose a simple yet flexible probabilistic model for CCA in the form of a two-layer latent variable generative model. The advantages of this variant of probabilistic CCA include non-ambiguity of the latent variables, provisions for negative canonical correlations, possibility of non-normal generative variables, as well as ease of interpretation on all levels of the model. In addition, we show that it lends itself to computationally efficient estimation in high-dimensional settings using regularized inference. We test our approach to CCA analysis in simulations and apply it to two omics data sets illustrating the integration of gene expression data, lipid concentrations and methylation levels.
conclusionsOur whitening approach to CCA provides a unifying perspective on CCA, linking together sphering procedures, multivariate regression and corresponding probabilistic generative models. Furthermore, we offer an efficient computer implementation in the "whitening" R package available at https://CRAN.R-project.org/package=whitening .
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.