Russ Greiner
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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
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
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
Learning Bayesian networks from data: An information-theory based approach
J Cheng, R Greiner, J Kelly, D Bell, W Liu
Artificial intelligence 137 (1-2), 43-90, 2002
The human serum metabolome
N Psychogios, DD Hau, J Peng, AC Guo, R Mandal, S Bouatra, ...
PloS one 6 (2), e16957, 2011
Model-based three-dimensional interpretations of two-dimensional images
RA Brooks
IEEE Transactions on Pattern Analysis and Machine Intelligence, 140-150, 1983
Comparing Bayesian network classifiers
J Cheng, R Greiner
Proceedings of the Fifteenth conference on Uncertainty in artificial …, 1999
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
A correction to the algorithm in Reiter's theory of diagnosis
R Greiner, BA Smith, RW Wilkerson
Artificial Intelligence 41 (1), 79-88, 1989
Learning bayesian belief network classifiers: Algorithms and system
J Cheng, R Greiner
Conference of the Canadian Society for Computational Studies of Intelligence …, 2001
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
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
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
Structural extension to logistic regression: Discriminative parameter learning of belief net classifiers
R Greiner, X Su, B Shen, W Zhou
Machine Learning 59 (3), 297-322, 2005
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
Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification
F Allen, R Greiner, D Wishart
Metabolomics 11 (1), 98-110, 2015
Learning cost-sensitive active classifiers
R Greiner, AJ Grove, D Roth
Artificial Intelligence 139 (2), 137-174, 2002
Predictive models for breast cancer susceptibility from multiple single nucleotide polymorphisms
J Listgarten, S Damaraju, B Poulin, L Cook, J Dufour, A Driga, J Mackey, ...
Clinical cancer research 10 (8), 2725-2737, 2004
Learning by understanding analogies
R Greiner
Artificial Intelligence 35 (1), 81-125, 1988
Optimistic active-learning using mutual information.
Y Guo, R Greiner
IJCAI 7, 823-829, 2007
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