| Multivariate Analysis in Metabolomics B Worley, R Powers Current Metabolomics 1 (1), 92-107, 2013 | 1580 | 2013 |
| PCA as a practical indicator of OPLS-DA model reliability B Worley, R Powers Current Metabolomics 4 (2), 97-103, 2016 | 389 | 2016 |
| Utilities for quantifying separation in PCA/PLS-DA scores plots B Worley, S Halouska, R Powers Analytical biochemistry 433 (2), 102-104, 2013 | 216 | 2013 |
| MVAPACK: a complete data handling package for NMR metabolomics B Worley, R Powers ACS chemical biology 9 (5), 1138-1144, 2014 | 123 | 2014 |
| Combining DI-ESI–MS and NMR datasets for metabolic profiling DD Marshall, S Lei, B Worley, Y Huang, A Garcia-Garcia, R Franco, ... Metabolomics 11, 391-402, 2015 | 76 | 2015 |
| Metabolic investigations of the molecular mechanisms associated with Parkinson’s disease R Powers, S Lei, A Anandhan, DD Marshall, B Worley, RL Cerny, ... Metabolites 7 (2), 22, 2017 | 48 | 2017 |
| Deterministic multidimensional nonuniform gap sampling B Worley, R Powers Journal of magnetic resonance 261, 19-26, 2015 | 40 | 2015 |
| Minimal NMR distance information for rigidity of protein graphs C Lavor, L Liberti, B Donald, B Worley, B Bardiaux, TE Malliavin, M Nilges Discrete Applied Mathematics 256, 91-104, 2019 | 36 | 2019 |
| Multivariate analysis in metabolomics. Curr Metabolomics 1: 92–107 B Worley, R Powers | 32 | 2013 |
| Generalized adaptive intelligent binning of multiway data B Worley, R Powers Chemometrics and Intelligent Laboratory Systems 146, 42-46, 2015 | 28 | 2015 |
| Scalable mean-field sparse Bayesian learning B Worley IEEE Transactions on Signal Processing 67 (24), 6314-6326, 2019 | 27 | 2019 |
| Tuning interval Branch-and-Prune for protein structure determination B Worley, F Delhommel, F Cordier, TE Malliavin, B Bardiaux, N Wolff, ... Journal of Global Optimization 72, 109-127, 2018 | 24 | 2018 |
| Simultaneous phase and scatter correction for NMR datasets B Worley, R Powers Chemometrics and Intelligent Laboratory Systems 131, 1-6, 2014 | 23 | 2014 |
| A sequential algorithm for multiblock orthogonal projections to latent structures B Worley, R Powers Chemometrics and Intelligent Laboratory Systems 149, 33-39, 2015 | 22 | 2015 |
| 13C NMR Reveals No Evidence of n−π* Interactions in Proteins B Worley, G Richard, GS Harbison, R Powers Public Library of Science 7 (8), e42075, 2012 | 17 | 2012 |
| Subrandom methods for multidimensional nonuniform sampling B Worley Journal of Magnetic Resonance 269, 128-137, 2016 | 13 | 2016 |
| Multivariate analysis in metabolomics. Curr Metabolomics. 2013; 1 (1): 92–107 B Worley, R Powers Epub 2013/01/01. https://doi. org/10.2174/2213235X11301010092 PMID: 26078916, 0 | 13 | |
| Convex Accelerated Maximum Entropy Reconstruction B Worley Journal of Magnetic Resonance 265, 90-98, 2016 | 11 | 2016 |
| Learning physics confers pose-sensitivity in structure-based virtual screening P Gniewek, B Worley, K Stafford, H Bedem, B Anderson arXiv preprint arXiv:2110.15459, 2021 | 10 | 2021 |
| Statistical removal of background signals from high-throughput 1H NMR line-broadening ligand-affinity screens B Worley, NJ Sisco, R Powers Journal of biomolecular NMR 63, 53-58, 2015 | 4 | 2015 |
Robert PowersProfessor of Chemistry, University of NebraskaПотвърден имейл адрес: unl.edu
