Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus).
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| Title: | Machine learning for genomic prediction of growth traits in aquaculture: a case study of the Australasian snapper (Chrysophrys auratus). |
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| Authors: | Chen Z; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand., Blommaert J; The New Zealand Institute for Plant and Food Research Ltd, Nelson, New Zealand., Mei Y; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand. yi.mei@vuw.ac.nz., Jesson L; The New Zealand Institute for Plant and Food Research Ltd, Te Puke, New Zealand., Wellenreuther M; The New Zealand Institute for Plant and Food Research Ltd, Nelson, New Zealand.; School of Biological Sciences, University of Auckland, Auckland, New Zealand., Zhang M; School of Engineering and Computer Science & Centre for Data Science and Artificial Intelligence, Victoria University of Wellington, Wellington, 6140, New Zealand. |
| Source: | BMC bioinformatics [BMC Bioinformatics] 2025 Nov 18; Vol. 26 (1), pp. 278. Date of Electronic Publication: 2025 Nov 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2105 |
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| DOI: | 10.1186/s12859-025-06287-x |
