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Mario Marchand

Interpretable genotype-to-phenotype classifiers with performance guarantees
Mass spectra alignment using virtual lock-masses
Large scale modeling of antimicrobial resistance with interpretable classifiers
Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons
Greedy Biomarker Discovery in the Genome with Applications to Antimicrobial Resistance
Learning interpretable models of phenotypes from whole genome sequences with the Set Covering Machine
Learning a peptide-protein binding affinity predictor with kernel ridge regression
MHC-NP: predicting peptides naturally processed by the MHC

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