Author

A. S. Lachapelle

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

The CRyPTIC consortium· 1 shared

Activity by Year

2021-2021 · peak 1/yr

1 paper

Recent·Most cited

Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning

The CRyPTIC consortium, A. S. Lachapelle

This paper develops a machine learning system to predict minimum inhibitory concentrations from unassembled whole-genome sequencing data for 13 anti-tuberculosis drugs, achieving high accuracy for most drugs.

bioRxiv · Sep 14, 2021 · PreprintMicrobiology