📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Machine learning prediction of resistance to sub-inhibitory antimicrobial concentrations from Escherichia coli genomes (2021)

First Author: Benkwitz-Bedford S

Attributed to: Predicting cell-cell horizontal transmission of antibiotics resistance from genome and phenome funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2021.03.26.437296

Publication URI: http://dx.doi.org/10.1101/2021.03.26.437296

Type: Preprint