Machine-learning-based analysis of host-depleted k-mer profiles for early detection and abundance estimation of coffee pathogens.

Lim S, Ahn E, Zhang D, Meinhardt LW, Park S

DOI: 10.1093/bioadv/vbag224
Published: 2026
Container: Bioinformatics advances
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbag224,
  title = {Machine-learning-based analysis of host-depleted k-mer profiles for early detection and abundance estimation of coffee pathogens.},
  author = {Lim S and Ahn E and Zhang D and Meinhardt LW and Park S},
  year = {2026},
  journal = {Bioinformatics advances},
  doi = {10.1093/bioadv/vbag224},
  url = {https://doi.org/10.1093/bioadv/vbag224}
}

RIS

TY  - JOUR
TI  - Machine-learning-based analysis of host-depleted k-mer profiles for early detection and abundance estimation of coffee pathogens.
AU  - Lim S
AU  - Ahn E
AU  - Zhang D
AU  - Meinhardt LW
AU  - Park S
PY  - 2026
JO  - Bioinformatics advances
DO  - 10.1093/bioadv/vbag224
UR  - https://doi.org/10.1093/bioadv/vbag224
ER  -

APA

S, L., E, A., D, Z., LW, M., & S, P. (2026). Machine-learning-based analysis of host-depleted k-mer profiles for early detection and abundance estimation of coffee pathogens.. Bioinformatics advances. https://doi.org/10.1093/bioadv/vbag224

Source records

pubmed · retrieved 2026-09-26T17:07:02.953Z