Interpretable genotype-to-phenotype classifiers with performance guarantees

By: Alexandre Drouin, Gaël Letarte, Frédéric Raymond, Mario Marchand, Jacques Corbeil, François Laviolette

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Contents

This repository contains supporting information for the paper. It is organized as follows:

• Models: antimicrobial resistance prediction models for CART and SCM
• Data: scripts to reproduce the datasets used in the paper
• Results: results of all algorithms across all datasets
• Tutorials: tutorials on using Kover to learn genotype-to-phenotype models

Reference

Drouin, A., Letarte, G., Raymond, F., Marchand, M., Corbeil, J., & Laviolette, F. (2019). Interpretable genotype-to-phenotype classifiers with performance guarantees. Scientific Reports, 9(1), 4071. [PDF]