Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).

Chen Z, Blommaert J, Mei Y, Jesson L, Wellenreuther M, Zhang M

DOI: 10.1186/s12859-025-06287-x
Published: 2025 Nov 18
Container: BMC bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12859-025-06287-x,
  title = {Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).},
  author = {Chen Z and Blommaert J and Mei Y and Jesson L and Wellenreuther M and Zhang M},
  year = {2025},
  journal = {BMC bioinformatics},
  doi = {10.1186/s12859-025-06287-x},
  url = {https://doi.org/10.1186/s12859-025-06287-x}
}

RIS

TY  - JOUR
TI  - Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).
AU  - Chen Z
AU  - Blommaert J
AU  - Mei Y
AU  - Jesson L
AU  - Wellenreuther M
AU  - Zhang M
PY  - 2025
JO  - BMC bioinformatics
DO  - 10.1186/s12859-025-06287-x
UR  - https://doi.org/10.1186/s12859-025-06287-x
ER  -

APA

Z, C., J, B., Y, M., L, J., M, W., & M, Z. (2025). Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).. BMC bioinformatics. https://doi.org/10.1186/s12859-025-06287-x

Source records

pubmed · retrieved 2026-09-26T17:16:04.710Z