Covariate adjustment in partial least squares (PLS) regression for the extraction of the spatial-temporal pattern from positron emission tomography data

DOI10.1016/j.stamet.2006.07.002zbMath1248.62222OpenAlexW2059691729MaRDI QIDQ713746

Lei Xu, Sati Mazumdar, Julie Price

Publication date: 19 October 2012

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.stamet.2006.07.002

zbMATH Keywords

covariate-adjusted PLS regressionfeature characterizationPET data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Image analysis in multivariate analysis (62H35) Biomedical imaging and signal processing (92C55)

Uses Software

• MLwiN

Cites Work

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• PLS path modeling
• Stimulant-Induced Spatial Temporal Patterns in Pet Data : Illustrations Using SPM, Manacova-CVA and PLS
• PLS Dimension Reduction for Classification with Microarray Data