Classification of the plant-associated lifestyle of Pseudomonas strains using genome properties and machine learning
- DOI
- 10.1038/s41598-022-14913-4
- Published
- 2022-06-27
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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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 = {Wasin Poncheewin and Anne D. van Diepeningen and Theo A. J. van der Lee and Maria Suarez-Diez and Peter J. Schaap},
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 - Wasin Poncheewin AU - Anne D. van Diepeningen AU - Theo A. J. van der Lee AU - Maria Suarez-Diez AU - Peter J. Schaap PY - 2022 JO - Scientific Reports DO - 10.1038/s41598-022-14913-4 UR - https://doi.org/10.1038/s41598-022-14913-4 ER -
APA
Poncheewin, W., Diepeningen, A. D. V., Lee, T. A. J. V. D., Suarez-Diez, M., & Schaap, P. J. (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
Source records
- crossref · retrieved 2026-11-10T13:22:19.781Z