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Interpretable genotype-to-phenotype classifiers with performance guarantees
Alexandre Drouin, Gaël Letarte, Frédéric Raymond, Mario Marchand, Jacques Corbeil, François Laviolette
doi: https://doi.org/10.1101/388348
Alexandre Drouin
1Department of Computer Science and Software Engineering, Université Laval, Quebec, Canada
2Big Data Research Centre, Université Laval, Quebec, Canada
Gaël Letarte
1Department of Computer Science and Software Engineering, Université Laval, Quebec, Canada
2Big Data Research Centre, Université Laval, Quebec, Canada
Frédéric Raymond
3School of nutrition, Université Laval, Quebec, Canada
4Institute of Nutrition and Functional Foods, Université Laval, Quebec, Canada
Mario Marchand
1Department of Computer Science and Software Engineering, Université Laval, Quebec, Canada
2Big Data Research Centre, Université Laval, Quebec, Canada
Jacques Corbeil
2Big Data Research Centre, Université Laval, Quebec, Canada
5Infectious Disease Research Centre, Université Laval, Quebec, Canada
François Laviolette
1Department of Computer Science and Software Engineering, Université Laval, Quebec, Canada
2Big Data Research Centre, Université Laval, Quebec, Canada
Posted August 09, 2018.
Interpretable genotype-to-phenotype classifiers with performance guarantees
Alexandre Drouin, Gaël Letarte, Frédéric Raymond, Mario Marchand, Jacques Corbeil, François Laviolette
bioRxiv 388348; doi: https://doi.org/10.1101/388348
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