Evidence map›Paper›PMID 26524650›Full record

ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2015

Deterministic multidimensional nonuniform gap sampling.

Bradley Worley, Robert Powers

Abstract read
In one paragraph

Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Chemical shift variations in common metabolites.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. High fidelity sampling schedules for NMR spectra of high dynamic range.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  8. Clustered sparsity and Poisson-gap sampling.Journal of biomolecular NMR · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. NMR Metabolomics Protocols for Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  15. Metabolomics Analyses from Tissues in Parkinson's Disease.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Robust and transferable quantification of NMR spectral quality using IROC analysis.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Bradley WorleyDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States.
Robert PowersDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States. Electronic address: rpowers3@unl.edu.

Funding

Targeting Tumor-Stromal Metabolic Cross-Talk in Pancreatic CancerR01CA163649 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Pankaj Kumar Singh · 2012 to 2026
$5.4M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015468 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI PAUL, PREM S · 2000 to 2000
$2.0M
NCI NIH HHS R01 CA163649NCI NIH HHS R01CA163649NCRR NIH HHS C06 RR015468NCRR NIH HHS RR015468-01
6 · The paper itself

Abstract

Born from empirical observations in nonuniformly sampled multidimensional NMR data relating to gaps between sampled points, the Poisson-gap sampling method has enjoyed widespread use in biomolecular NMR. While the majority of nonuniform sampling schemes are fully randomly drawn from probability densities that vary over a Nyquist grid, the Poisson-gap scheme employs constrained random deviates to minimize the gaps between sampled grid points. We describe a deterministic gap sampling method, based on the average behavior of Poisson-gap sampling, which performs comparably to its random counterpart with the additional benefit of completely deterministic behavior. We also introduce a general algorithm for multidimensional nonuniform sampling based on a gap equation, and apply it to yield a deterministic sampling scheme that combines burst-mode sampling features with those of Poisson-gap schemes. Finally, we derive a relationship between stochastic gap equations and the expectation value of their sampling probability densities.

Indexed as

AlgorithmsFourier AnalysisNuclear Magnetic Resonance, BiomolecularPoisson DistributionStochastic ProcessesDeterministic samplingNMRNUSPoisson-gap

Identifiers

PMID26524650
PMCPMC4970466

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.