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Large scale modeling of antimicrobial resistance with interpretable classifiers

Dec 03, 2016
Alexandre Drouin, Frédéric Raymond, Gaël Letarte St-Pierre, Mario Marchand, Jacques Corbeil, François Laviolette

* Peer-reviewed and accepted for presentation at the Machine Learning for Health Workshop, NIPS 2016, Barcelona, Spain 

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Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance

May 22, 2015
Alexandre Drouin, Sébastien Giguère, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil

* Peer-reviewed and accepted for an oral presentation in the Greed is Great workshop at the International Conference on Machine Learning, Lille, France, 2015 

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Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine

Dec 02, 2014
Alexandre Drouin, Sébastien Giguère, Vladana Sagatovich, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil

* Presented at Machine Learning in Computational Biology 2014, Montr\'eal, Qu\'ebec, Canada 

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Learning a peptide-protein binding affinity predictor with kernel ridge regression

Jul 31, 2012
Sébastien Giguère, Mario Marchand, François Laviolette, Alexandre Drouin, Jacques Corbeil

* BMC Bioinformatics 2013, 14:82 
* 22 pages, 4 figures, 5 tables 

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Feature Selection with Conjunctions of Decision Stumps and Learning from Microarray Data

May 04, 2010
Mohak Shah, Mario Marchand, Jacques Corbeil

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