Predicting antifouling paint particle contamination based on 16S rRNA gene sequencing data using random forest-based machine learning.

Sperlea T, Labrenz M, Kreikemeyer B, Schenk A, Tagg AS

DOI: 10.1128/spectrum.01578-26
Published: 2026 Sep
Container: Microbiology spectrum
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1128/spectrum.01578-26,
  title = {Predicting antifouling paint particle contamination based on 16S rRNA gene sequencing data using random forest-based machine learning.},
  author = {Sperlea T and Labrenz M and Kreikemeyer B and Schenk A and Tagg AS},
  year = {2026},
  journal = {Microbiology spectrum},
  doi = {10.1128/spectrum.01578-26},
  url = {https://doi.org/10.1128/spectrum.01578-26}
}

RIS

TY  - JOUR
TI  - Predicting antifouling paint particle contamination based on 16S rRNA gene sequencing data using random forest-based machine learning.
AU  - Sperlea T
AU  - Labrenz M
AU  - Kreikemeyer B
AU  - Schenk A
AU  - Tagg AS
PY  - 2026
JO  - Microbiology spectrum
DO  - 10.1128/spectrum.01578-26
UR  - https://doi.org/10.1128/spectrum.01578-26
ER  -

APA

T, S., M, L., B, K., A, S., & AS, T. (2026). Predicting antifouling paint particle contamination based on 16S rRNA gene sequencing data using random forest-based machine learning.. Microbiology spectrum. https://doi.org/10.1128/spectrum.01578-26

Source records

pubmed · retrieved 2026-09-26T02:15:54.430Z