| Cardinal: an R package for statistical analysis of mass spectrometry-based imaging experiments KD Bemis, A Harry, LS Eberlin, C Ferreira, SM van de Ven, P Mallick, ... Bioinformatics 31 (14), 2418-2420, 2015 | 255 | 2015 |
| Probabilistic segmentation of mass spectrometry (MS) images helps select important ions and characterize confidence in the resulting segments KD Bemis, A Harry, LS Eberlin, CR Ferreira, SM van de Ven, P Mallick, ... Molecular & Cellular Proteomics 15 (5), 1761-1772, 2016 | 63 | 2016 |
| A likelihood-based approach to identifying contaminated food products using sales data: performance and challenges J Kaufman, J Lessler, A Harry, S Edlund, K Hu, J Douglas, C Thoens, ... PLoS computational biology 10 (7), e1003692, 2014 | 29 | 2014 |
| Global behavior of solutions of a periodically forced Sigmoid Beverton–Holt model AJ Harry, CM Kent, VL Kocic Journal of Biological Dynamics 6 (2), 212-234, 2012 | 28 | 2012 |
| Statistical detection of differentially abundant ions in mass spectrometry-based imaging experiments with complex designs KA Bemis, D Guo, AJ Harry, M Thomas, I Lanekoff, MP Stenzel-Poore, ... International Journal of Mass Spectrometry 437, 49-57, 2019 | 12 | 2019 |
| Cardinal: Analytic tools for mass spectrometry imaging KA Bemis, A Harry April, 2016 | 2 | 2016 |
| Supervised analysis of MS images using Cardinal KA Bemis, A Harry | 1 | 2015 |
| A systematic census of generalized toric codes over F4, F5 and F16 JE Amaya, AJ Harry, BM Vega MSRI-UP 2009, 9, 2009 | 1 | 2009 |
| Design and Statistical Analysis of Mass Spectrometry Imaging Experiments AJ Harry Purdue University, 2017 | | 2017 |
| Supplementary Materials Probabilistic segmentation of mass spectrometry images helps select important ions and characterize confidence in the resulting segments KD Bemis, A Harry, LS Eberlin, CR Ferreira | | 2015 |
