Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery

Ahmed Debit, Christophe Poulet, Claire Josse, Guy Jerusalem, Chloe-Agathe Azencott, Vincent Bours, Kristel Van Steen

Open source

DOI: 10.1093/bib/bbaf318
Published: 2025-07
Container: Briefings in Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bib/bbaf318,
  title = {Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery},
  author = {Ahmed Debit and Christophe Poulet and Claire Josse and Guy Jerusalem and Chloe-Agathe Azencott and Vincent Bours and Kristel Van Steen},
  year = {2025},
  journal = {Briefings in Bioinformatics},
  doi = {10.1093/bib/bbaf318},
  url = {https://doi.org/10.1093/bib/bbaf318}
}

RIS

TY  - JOUR
TI  - Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery
AU  - Ahmed Debit
AU  - Christophe Poulet
AU  - Claire Josse
AU  - Guy Jerusalem
AU  - Chloe-Agathe Azencott
AU  - Vincent Bours
AU  - Kristel Van Steen
PY  - 2025
JO  - Briefings in Bioinformatics
DO  - 10.1093/bib/bbaf318
UR  - https://doi.org/10.1093/bib/bbaf318
ER  -

APA

Debit, A., Poulet, C., Josse, C., Jerusalem, G., Azencott, C., Bours, V., & Steen, K. V. (2025). Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery. Briefings in Bioinformatics. https://doi.org/10.1093/bib/bbaf318

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crossref · retrieved 2026-09-26T23:56:26.051Z