ArticleMagnetic resonance (Gottingen, Germany)2021
Bootstrap Aggregation for Model Selection in the Model-free Formalism.
Article in Magnetic resonance (Gottingen, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Direct Determination of Protein Rotational Diffusion Tensors and Generalized Order Parameters from MultifieldJournal of the American Chemical Society · 2026Article
- A steady-state approach for analysis of high-resolution relaxometry.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2025Article
- Toxic mechanism of the Mongolian medicine "Hunqile-7" based on metabonomics and the metabolism of intestinal flora.Toxicology research · 2023Article
- Introduction to "Geoffrey Bodenhausen Festschrift".Magnetic resonance (Gottingen, Germany) · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The ability to make robust inferences about the dynamics of biological macromolecules using NMR spectroscopy depends heavily on the application of appropriate theoretical models for nuclear spin relaxation. Data analysis for NMR laboratory-frame relaxation experiments typically involves selecting one of several model-free spectral density functions using a bias-corrected fitness test. Here, advances in statistical model selection theory, termed bootstrap aggregation or bagging, are applied to
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Registered trials
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.