Author

S. Benkwitz-Bedford

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Biology Disciplines

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Microbiology· 1

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

Frequent Co-Authors

A. Farewell· 1 shared D. Moradigaravand· 1 shared J. Warringer· 1 shared L. Parts· 1 shared M. Palm· 1 shared T. Y. Demirtas· 1 shared V. Mustonen· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperMicrobiology

A. Farewell

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1 paper

Recent·Most cited

MicrobiologybioRxivPreprintMar 26, 2021

Machine-learning prediction of resistance to sub-inhibitory antimicrobial concentrations from Escherichia coli genomes

S. Benkwitz-Bedford, M. Palm, T. Y. Demirtas…·L. Parts

This paper uses machine learning to predict E. coli growth under sub-inhibitory antimicrobial concentrations from genomic data, finding moderate to strong correlations but highlighting remaining missing heritability.

DOI 10.1101/2021.03.26.437296

E. coliwhole-genome sequencing

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