| 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 | 923 | 2022 |
| 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 | 193 | 2021 |
| 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 | 41 | 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 | 29 | 2022 |
| Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer’s disease J Xu, C Mao, Y Hou, Y Luo, JL Binder, Y Zhou, LM Bekris, J Shin, M Hu, ... Cell reports 41 (9), 111717, 2022 | 25 | 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 | 21 | 2024 |
| Hmdb 5.0: The human metabolome database for 2022., 2022, 50, pp DS Wishart, A Guo, E Oler, F Wang, A Anjum, H Peters, R Dizon, ... D622-D631. DOI: https://doi. org/10.1093/nar/gkab1062, 0 | 15 | |
| 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 | 6 | 2023 |
| Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer’s disease F Cheng, F Wang, J Tang, Y Zhou, Z Fu, P Zhang, JL Haines, JB Leverenz, ... Cell Reports Medicine 5 (2), 2024 | 3 | 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 | 3 | 2021 |
| 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 | 2 | 2023 |
| 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 | | 2024 |
| Chemical composition of commercial cannabis DS Wishart, M Hiebert-Giesbrecht, G Inchehborouni, X Cao, AC Guo, ... Journal of agricultural and food chemistry, 2024 | | 2024 |
| Learning Metabolite Tandem Mass Spectra Predictors From Molecular Graph Structure F Wang | | 2020 |
Russ GreinerProfessor of Computer Science, University of AlbertaVerified email at ualberta.ca
