Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information

DOI10.1111/biom.12715zbMath1415.62130arXiv1606.02690OpenAlexW2417424826WikidataQ36365862 ScholiaQ36365862MaRDI QIDQ3119840

Qi Long, Shuzhao Li, Sandra E. Safo

Publication date: 13 March 2019

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1606.02690

zbMATH Keywords

canonical correlation analysissparsityhigh dimensionstructural informationintegrative analysislow sample sizebiological information

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items (2)

Sparse linear discriminant analysis for multiview structured data ⋮ Sparse linear discriminant analysis in structured covariates space

Uses Software

• glasso
• PMA
• MetaboAnalyst
• ToppGene Suite

Cites Work

• A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis
• Sparse inverse covariance estimation with the graphical lasso
• Canonical ridge and econometrics of joint production
• Sparse CCA: adaptive estimation and computational barriers
• The Dantzig selector: statistical estimation when \(p\) is much larger than \(n\). (With discussions and rejoinder).
• Sparse Canonical Correlation Analysis with Application to Genomic Data Integration
• A Direct Estimation Approach to Sparse Linear Discriminant Analysis
• Incorporating Predictor Network in Penalized Regression with Application to Microarray Data
• Sparsity and Smoothness Via the Fused Lasso
• RELATIONS BETWEEN TWO SETS OF VARIATES
• Multivariate Statistics

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