This paper is in the following e-collection/theme issue:

Theme Issue 2024: Machine Learning-Based Predictive Models Using Genomic Data (5) Microbial genomics and metagenomics (3) Gastroenterology and Hepatology (72) Infectious Diseases (non-STD/STI) (1592) Hygiene and Infection Prevention (325) AI applications in genomics and pathology informatics, including ‘Generative AI’ (9) Immunoinformatics and Pathology informatics (13) Machine Learning (1501) Machine Learning (55) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (39) Applications of AI (104)

Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62747, first published .
Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach

Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach

Eco-Evolutionary Drivers of Vibrio parahaemolyticus Sequence Type 3 Expansion: Retrospective Machine Learning Approach

Authors of this article:

Amy Marie Campbell1, 2 Author Orcid Image ;   Chris Hauton1 Author Orcid Image ;   Ronny van Aerle2 Author Orcid Image ;   Jaime Martinez-Urtaza2, 3 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Amy Marie Campbell   1, 2 , PhD ;   Chris Hauton   1 , PhD ;   Ronny van Aerle   2 , PhD ;   Jaime Martinez-Urtaza   2, 3 , PhD

1 School of Ocean and Earth Science, University of Southampton, Southampton, United Kingdom

2 Centre for Environment, Fisheries and Aquaculture Science (CEFAS), Weymouth, United Kingdom

3 Department of Genetics and Microbiology, Autonomous University of Barcelona, Barcelona, Spain

Corresponding Author:

  • Jaime Martinez-Urtaza, PhD
  • Department of Genetics and Microbiology
  • Autonomous University of Barcelona
  • Facultat de Biociènces, oficina C3/109
  • Campus de la UAB, Bellaterra
  • Barcelona, 08193
  • Spain
  • Phone: 34 93 581 2729
  • Email: jaime.martinez.urtaza@uab.cat