📣 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 to predict the source of campylobacteriosis using whole genome data. (2021)

First Author: Arning N

Attributed to: The MRC Consortium for Medical Microbial Bioinformatics funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pgen.1009436

PubMed Identifier: 34662334

Publication URI: http://europepmc.org/abstract/MED/34662334

Type: Journal Article/Review

Volume: 17

Parent Publication: PLoS genetics

Issue: 10

ISSN: 1553-7390