| HMDB 5.0: the human metabolome database for 2022 DS Wishart, AC Guo, E Oler, F Wang, A Anjum, H Peters, R Dizon, ... Nucleic acids research 50 (D1), D622-D631, 2022 | 1472 | 2022 |
| DrugBank 6.0: the DrugBank knowledgebase for 2024 C Knox, M Wilson, CM Klinger, M Franklin, E Oler, A Wilson, A Pon, J Cox, ... Nucleic acids research 52 (D1), D1265-D1275, 2024 | 373 | 2024 |
| CFM-ID 4.0: more accurate ESI-MS/MS spectral prediction and compound identification F Wang, J Liigand, S Tian, D Arndt, R Greiner, DS Wishart Analytical chemistry 93 (34), 11692-11700, 2021 | 286 | 2021 |
| CFM-ID 4.0–a web server for accurate MS-based metabolite identification F Wang, D Allen, S Tian, E Oler, V Gautam, R Greiner, TO Metz, ... Nucleic acids research 50 (W1), W165-W174, 2022 | 67 | 2022 |
| A deep generative model enables automated structure elucidation of novel psychoactive substances MA Skinnider, F Wang, D Pasin, R Greiner, LJ Foster, PW Dalsgaard, ... Nature Machine Intelligence 3 (11), 973-984, 2021 | 61 | 2021 |
| Exploring language-agnostic speech representations using domain knowledge for detecting alzheimer’s dementia Z Shah, SA Qi, F Wang, M Farrokh, M Tasnim, E Stroulia, R Greiner, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 13 | 2023 |
| Deep learning-enabled MS/MS spectrum prediction facilitates automated identification of novel psychoactive substances F Wang, D Pasin, MA Skinnider, J Liigand, JN Kleis, D Brown, E Oler, ... Analytical Chemistry 95 (50), 18326-18334, 2023 | 11 | 2023 |
| Chemical composition of commercial cannabis DS Wishart, M Hiebert-Giesbrecht, G Inchehborouni, X Cao, AC Guo, ... Journal of agricultural and food chemistry, 2024 | 8 | 2024 |
| Accurate Prediction of 1H NMR Chemical Shifts of Small Molecules Using Machine Learning T Sajed, Z Sayeeda, BL Lee, M Berjanskii, F Wang, V Gautam, DS Wishart Metabolites 14 (5), 290, 2024 | 6 | 2024 |
| A longitudinal dataset of incidence and intervention policy impacts regarding the COVID-19 pandemic in Canadian provinces AH Keshteli, D Allen, A Anjum, Y Patel, A Sivakumaran, S Tian, F Wang, ... Data in Brief 38, 107381, 2021 | 4 | 2021 |
| Optical character recognition of printed mathematical symbols using a hierarchical classifier J Ranger, F Wang, H Cheng Proceedings of the International Conference on Image Processing, Computer …, 2012 | 4 | 2012 |
| GCMS-ID: a webserver for identifying compounds from gas chromatography mass spectrometry experiments J Wakoli, A Anjum, T Sajed, E Oler, F Wang, V Gautam, M LeVatte, ... Nucleic Acids Research, gkae425, 2024 | 3 | 2024 |
| Introducing “Identification Probability” for Automated and Transferable Assessment of Metabolite Identification Confidence in Metabolomics and Related Studies TO Metz, CH Chang, V Gautam, A Anjum, S Tian, F Wang, SM Colby, ... Analytical Chemistry 97 (1), 1-11, 2024 | 2 | 2024 |
| MassSpecGym: A benchmark for the discovery and identification of molecules R Bushuiev, A Bushuiev, NF de Jonge, A Young, F Kretschmer, ... arXiv preprint arXiv:2410.23326, 2024 | 2 | 2024 |
| FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction A Young, F Wang, D Wishart, B Wang, H Röst, R Greiner arXiv preprint arXiv:2404.02360, 2024 | 2 | 2024 |
| Language model-guided anticipation and discovery of unknown metabolites H Qiang, F Wang, W Lu, X Xing, H Kim, SAM Merette, LB Ayres, E Oler, ... bioRxiv, 2024.11. 13.623458, 2024 | | 2024 |
David S. WishartProfessor, Depts. of Computing Science and Biological Sciences - University of AlbertaBestätigte E-Mail-Adresse bei ualberta.ca