Principal trend analysis for time-course data with applications in genomic medicine

DOI10.1214/13-AOAS659zbMath1283.62126arXiv1401.2832OpenAlexW2057456755MaRDI QIDQ2441857

Ronald W. Davis, Yu-Ping Zhang

Publication date: 28 March 2014

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

Full work available at URL: https://arxiv.org/abs/1401.2832

zbMATH Keywords

smoothlongitudinalsparsehigh dimensionalprincipal components analysis

Mathematics Subject Classification ID

Related Items (1)

Principal trend analysis for time-course data with applications in genomic medicine

Uses Software

• R
• PTA
• ElemStatLearn
• PMA

Cites Work

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• Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data
• Predicting patient survival from longitudinal gene expression
• Principal trend analysis for time-course data with applications in genomic medicine
• Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection
• Regularization and Variable Selection Via the Elastic Net
• A Correspondence Between Bayesian Estimation on Stochastic Processes and Smoothing by Splines

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