Paper Info
Title
Bayesian reconstruction of projection reconstruction NMR (PR-NMR).
Abstract
Projection reconstruction nuclear magnetic resonance (PR-NMR) is a technique for generating multidimensional NMR spectra. A small number of projections from lower-dimensional NMR spectra are used to reconstruct the multidimensional NMR spectra. In our previous work [1], [2], it was shown that multidimensional NMR spectra are efficiently reconstructed using peak-by-peak based reversible jump Markov chain Monte Carlo (RJMCMC) algorithm. We propose an extended and generalized RJMCMC algorithm replacing a simple linear model with a linear mixed model to reconstruct close NMR spectra into true spectra. This statistical method generates samples in a Bayesian scheme. Our proposed algorithm is tested on a set of six projections derived from the three-dimensional 700MHz HNCO spectrum of a protein HasA.
Year
DOI
Venue
2014
10.1016/j.compbiomed.2014.08.016
Computers in Biology and Medicine
Keywords
DocType
Volume
Inverse problem,Projection reconstruction,Bayesian model selection,Reconstruction of multidimensional NMR spectra,Mixed linear model
Journal
54
Issue
ISSN
Citations 
C
0010-4825
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Ji Won Yoon111223.94