Joint modeling of an outcome variable and integrated omics datasets using GLM-PO2PLS

DOI10.1080/02664763.2024.2313458MaRDI QIDQ6643332

Jeanine J. Houwing-Duistermaat, Unnamed Author, Hae-Won Uh, Said el Bouhaddani

Publication date: 26 November 2024

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• sJIVE: supervised joint and individual variation explained
• On the structure of partial least squares regression
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• Incorporating covariates into integrated factor analysis of multi‐view data
• A Direct Approach to False Discovery Rates
• Structural learning and integrative decomposition of multi‐view data
• Joint association and classification analysis of multi‐view data
• Statistical integration of heterogeneous omics data: probabilistic two-way partial least squares (PO2PLS)

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