HMDB: the human metabolome database DS Wishart, D Tzur, C Knox, R Eisner, AC Guo, N Young, D Cheng, ... Nucleic acids research 35 (suppl_1), D521-D526, 2007 | 3451 | 2007 |
HMDB 3.0—the human metabolome database in 2013 DS Wishart, T Jewison, AC Guo, M Wilson, C Knox, Y Liu, Y Djoumbou, ... Nucleic acids research 41 (D1), D801-D807, 2012 | 3273 | 2012 |
Building large knowledge-based systems: Representation and inference in the cyc project: DB Lenat and RV Guha C Elkan, R Greiner Artificial Intelligence 61 (1), 41-52, 1993 | 3268 | 1993 |
HMDB: a knowledgebase for the human metabolome DS Wishart, C Knox, AC Guo, R Eisner, N Young, B Gautam, DD Hau, ... Nucleic acids research 37 (suppl_1), D603-D610, 2009 | 2170 | 2009 |
The human serum metabolome N Psychogios, DD Hau, J Peng, AC Guo, R Mandal, S Bouatra, ... PloS one 6 (2), e16957, 2011 | 1853 | 2011 |
Learning belief networks from data: An information theory based approach J Cheng, DA Bell, W Liu Proceedings of the sixth international conference on Information and …, 1997 | 1444 | 1997 |
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 | 1031 | 2022 |
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy Y Djoumbou Feunang, R Eisner, C Knox, L Chepelev, J Hastings, ... Journal of cheminformatics 8, 1-20, 2016 | 1010 | 2016 |
Comparing Bayesian network classifiers J Cheng, R Greiner arXiv preprint arXiv:1301.6684, 2013 | 699 | 2013 |
A correction to the algorithm in Reiter's theory of diagnosis R Greiner, BA Smith, RW Wilkerson Artificial Intelligence 41 (1), 79-88, 1989 | 477 | 1989 |
Predicting subcellular localization of proteins using machine-learned classifiers Z Lu, D Szafron, R Greiner, P Lu, DS Wishart, B Poulin, J Anvik, ... Bioinformatics 20 (4), 547-556, 2004 | 464 | 2004 |
CFM-ID: a web server for annotation, spectrum prediction and metabolite identification from tandem mass spectra F Allen, A Pon, M Wilson, R Greiner, D Wishart Nucleic acids research 42 (W1), W94-W99, 2014 | 458 | 2014 |
Investigations of the effects of gender, diurnal variation, and age in human urinary metabolomic profiles CM Slupsky, KN Rankin, J Wagner, H Fu, D Chang, AM Weljie, EJ Saude, ... Analytical chemistry 79 (18), 6995-7004, 2007 | 456 | 2007 |
Learning bayesian belief network classifiers: Algorithms and system J Cheng, R Greiner Advances in Artificial Intelligence: 14th Biennial Conference of the …, 2001 | 453 | 2001 |
Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification F Allen, R Greiner, D Wishart Metabolomics 11, 98-110, 2015 | 448 | 2015 |
The human cerebrospinal fluid metabolome DS Wishart, MJ Lewis, JA Morrissey, MD Flegel, K Jeroncic, Y Xiong, ... Journal of Chromatography B 871 (2), 164-173, 2008 | 405 | 2008 |
BASys: a web server for automated bacterial genome annotation GH Van Domselaar, P Stothard, S Shrivastava, JA Cruz, AC Guo, X Dong, ... Nucleic acids research 33 (suppl_2), W455-W459, 2005 | 377 | 2005 |
BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification Y Djoumbou-Feunang, J Fiamoncini, A Gil-de-la-Fuente, R Greiner, ... Journal of cheminformatics 11, 1-25, 2019 | 376 | 2019 |
Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers R Greiner, X Su, B Shen, W Zhou Machine Learning 59, 297-322, 2005 | 290 | 2005 |
Accurate, fully-automated NMR spectral profiling for metabolomics S Ravanbakhsh, P Liu, TC Bjordahl, R Mandal, JR Grant, M Wilson, ... PloS one 10 (5), e0124219, 2015 | 285 | 2015 |