Classification of the plant-associated lifestyle of Pseudomonas strains using genome properties and machine learning.

Poncheewin W, van Diepeningen AD, van der Lee TAJ, Suarez-Diez M, Schaap PJ

DOI: 10.1038/s41598-022-14913-4
Published: 2022 Jun 27
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-022-14913-4,
  title = {Classification of the plant-associated lifestyle of Pseudomonas strains using genome properties and machine learning.},
  author = {Poncheewin W and van Diepeningen AD and van der Lee TAJ and Suarez-Diez M and Schaap PJ},
  year = {2022},
  journal = {Scientific reports},
  doi = {10.1038/s41598-022-14913-4},
  url = {https://doi.org/10.1038/s41598-022-14913-4}
}

RIS

TY  - JOUR
TI  - Classification of the plant-associated lifestyle of Pseudomonas strains using genome properties and machine learning.
AU  - Poncheewin W
AU  - van Diepeningen AD
AU  - van der Lee TAJ
AU  - Suarez-Diez M
AU  - Schaap PJ
PY  - 2022
JO  - Scientific reports
DO  - 10.1038/s41598-022-14913-4
UR  - https://doi.org/10.1038/s41598-022-14913-4
ER  -

APA

W, P., AD, V. D., TAJ, V. D. L., M, S., & PJ, S. (2022). Classification of the plant-associated lifestyle of Pseudomonas strains using genome properties and machine learning.. Scientific reports. https://doi.org/10.1038/s41598-022-14913-4

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pubmed · retrieved 2026-09-26T00:54:17.687Z