Bayesian deconvolution and quantification of metabolites from \(J\)-resolved NMR spectroscopy

DOI10.1214/20-BA1208zbMath1480.62254MaRDI QIDQ2057325

Maria De Iorio, Andreas Heinecke, Lifeng Ye, Timothy M. D. Ebbels

Publication date: 6 December 2021

Published in: Bayesian Analysis (Search for Journal in Brave)

zbMATH Keywords

wavelet framesMCMCshrinkage priorsmetabolomicsNMR spectroscopy

Mathematics Subject Classification ID

Bayesian inference (62F15) Image analysis in multivariate analysis (62H35) Monte Carlo methods (65C05) Numerical methods for wavelets (65T60) Applications of statistics to physics (62P35)

Uses Software

• t-walk
• Rtwalk
• BATMAN
• BioMagResBank
• Dolphin
• SpinCouple
• Nmrglue

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Sparsity information and regularization in the horseshoe and other shrinkage priors
• Finite frames. Theory and applications.
• Slice sampling mixture models
• Affine systems in \(L_ 2(\mathbb{R}^d)\): The analysis of the analysis operator
• Lasso meets horseshoe: a survey
• On the half-Cauchy prior for a global scale parameter
• A general purpose sampling algorithm for continuous distributions (the t-walk)
• The horseshoe estimator for sparse signals
• Painless nonorthogonal expansions
• Bayesian Variable Selection in Linear Regression
• 10.1162/15324430152748236
• A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures
• Dirichlet–Laplace Priors for Optimal Shrinkage
• A Class of Nonharmonic Fourier Series
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)