A Highly Efficient Blocked Gibbs Sampler Reconstruction of Multidimensional NMR Spectra
Abstract
Projection Reconstruction Nuclear Magnetic Resonance (PR-NMR) is a new technique to generate multi-dimensional NMR spectra, which have discrete features that are relatively sparsely distributed in space. A small number of projections from lower dimensional NMR spectra are used to reconstruct the multi-dimensional NMR spectra. We propose an efficient algorithm which employs a blocked Gibbs sampler to accurately reconstruct NMR spectra. This statistical method generates samples in Bayesian scheme. Our proposed algorithm is tested on a set of six projections derived from the three-dimensional 700 MHz HNCO spectrum of HasA, a 187-residue heme binding protein.
Cite
Text
Yoon et al. "A Highly Efficient Blocked Gibbs Sampler Reconstruction of Multidimensional NMR Spectra." Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010.Markdown
[Yoon et al. "A Highly Efficient Blocked Gibbs Sampler Reconstruction of Multidimensional NMR Spectra." Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010.](https://mlanthology.org/aistats/2010/yoon2010aistats-highly/)BibTeX
@inproceedings{yoon2010aistats-highly,
title = {{A Highly Efficient Blocked Gibbs Sampler Reconstruction of Multidimensional NMR Spectra}},
author = {Yoon, Ji Won and Wilson, Simon and Mok, K. Hun},
booktitle = {Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics},
year = {2010},
pages = {940-947},
volume = {9},
url = {https://mlanthology.org/aistats/2010/yoon2010aistats-highly/}
}