Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle
- DOI
- 10.1186/s40104-026-01476-x
- Published
- 2026-08-08
- Container
- Journal of Animal Science and Biotechnology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1186/s40104-026-01476-x,
title = {Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle},
author = {Edwin Jun Kiat Ong and Mark H. Mooney and Faisal I. Rezwan and Hui Wang and Masoud Shirali},
year = {2026},
journal = {Journal of Animal Science and Biotechnology},
doi = {10.1186/s40104-026-01476-x},
url = {https://doi.org/10.1186/s40104-026-01476-x}
}RIS
TY - JOUR TI - Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle AU - Edwin Jun Kiat Ong AU - Mark H. Mooney AU - Faisal I. Rezwan AU - Hui Wang AU - Masoud Shirali PY - 2026 JO - Journal of Animal Science and Biotechnology DO - 10.1186/s40104-026-01476-x UR - https://doi.org/10.1186/s40104-026-01476-x ER -
APA
Ong, E. J. K., Mooney, M. H., Rezwan, F. I., Wang, H., & Shirali, M. (2026). Integrating multi-layer perceptron and random forest in an ensemble framework for improved genomic prediction accuracy and SHAP-derived interpretability of residual feed intake in cattle. Journal of Animal Science and Biotechnology. https://doi.org/10.1186/s40104-026-01476-x
Source records
- crossref · retrieved 2026-09-26T07:13:06.244Z