Predicting Antileishmanial Activity of Plant-Derived Compounds Using Random Forest Modeling.

Highgate A, Stillson PT, Washington J, Davenport D

DOI: 10.17912/micropub.biology.002261
Published: 2026
Container: microPublication biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.17912/micropub.biology.002261,
  title = {Predicting Antileishmanial Activity of Plant-Derived Compounds Using Random Forest Modeling.},
  author = {Highgate A and Stillson PT and Washington J and Davenport D},
  year = {2026},
  journal = {microPublication biology},
  doi = {10.17912/micropub.biology.002261},
  url = {https://doi.org/10.17912/micropub.biology.002261}
}

RIS

TY  - JOUR
TI  - Predicting Antileishmanial Activity of Plant-Derived Compounds Using Random Forest Modeling.
AU  - Highgate A
AU  - Stillson PT
AU  - Washington J
AU  - Davenport D
PY  - 2026
JO  - microPublication biology
DO  - 10.17912/micropub.biology.002261
UR  - https://doi.org/10.17912/micropub.biology.002261
ER  -

APA

A, H., PT, S., J, W., & D, D. (2026). Predicting Antileishmanial Activity of Plant-Derived Compounds Using Random Forest Modeling.. microPublication biology. https://doi.org/10.17912/micropub.biology.002261

Source records

pubmed · retrieved 2026-09-26T13:06:47.652Z