| Machine learning: a powerful tool for gene function prediction in plants EH Mahood, LH Kruse, GD Moghe Applications in Plant Sciences 8 (7), e11376, 2020 | 110 | 2020 |
| Untargeted metabolomics of purple and orange-fleshed sweet potatoes reveals a large structural diversity of anthocyanins and flavonoids AA Bennett, EH Mahood, K Fan, GD Moghe Scientific Reports 11 (1), 16408, 2021 | 28 | 2021 |
| Illuminating the lineage-specific diversification of resin glycoside acylsugars in the morning glory (Convolvulaceae) family using computational metabolomics LH Kruse, AA Bennett, EH Mahood, E Lazarus, SJ Park, F Schroeder, ... Horticulture Research 9, uhab079, 2022 | 13 | 2022 |
| Information theory and machine learning illuminate large‐scale metabolomic responses of Brachypodium distachyon to environmental change EH Mahood, AA Bennett, K Komatsu, LH Kruse, V Lau, M Rahmati Ishka, ... The Plant Journal 114 (3), 463-481, 2023 | 3 | 2023 |
| Network Topology Evaluation and Transitive Alignments for Molecular Networking X Wang, M Strobel, AT Aron, VV Phelan, DD Acharya, CJ Brown, ... Journal of the American Society for Mass Spectrometry 35 (9), 2165-2175, 2024 | | 2024 |
