On Combining Wavelets Expansion and Sparse Linear Models for Regression on Metabolomic Data and Biomarker Selection

DOI10.1080/03610918.2013.862273zbMath1359.62495OpenAlexW2015001440MaRDI QIDQ2809604

Céline Domange, Noslen Hernández, Alain Paris, Nathalie Villa-Vialaneix, Nathalie Priymenko

Publication date: 30 May 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.862273

zbMATH Keywords

elasticnetwaveletsparse regressionmetabolomics

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02) Diagnostics, and linear inference and regression (62J20)

Uses Software

• R

Cites Work

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• Ideal spatial adaptation by wavelet shrinkage
• 10.1162/153244303322753616
• De-noising by soft-thresholding
• Functional Classification with Margin Conditions
• Regularization and Variable Selection Via the Elastic Net
• Random forests

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