Machine learning driven multi-omics analysis of the genetic mechanisms behind the double-coat fleece formation in Hetian sheep
This study enhances understanding of the genetic mechanisms governing double-coated fleece formation in Hetian sheep. The identification of key genes (IRF2BP2, EGFR) and the methodological approach provide valuable insights for developing machine learning-driven multi-omics selection models in sheep breeding.
Authors
- Mengxuan Xie (ORCID: https://orcid.org/0000-0002-3919-2279)
- Nannan Song
- Pai Zheng (ORCID: https://orcid.org/0000-0002-1063-1178)
- Li‐Juan Yu (ORCID: https://orcid.org/0000-0002-9954-1477)
- Wenrong Li (ORCID: https://orcid.org/0000-0002-6954-4618)
- Yanwei Zhang (ORCID: https://orcid.org/0000-0002-3996-7513)
- Liping Tang
- Xinming Xu
- Jiang Di
Institutions
- Xinjiang Academy of Animal Science (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-06-11
- DOI
- https://doi.org/10.3389/fgene.2025.1582244
- Citations
- 1
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- Natural Science Foundation of Xinjiang Province
- Natural Science Foundation of Xinjiang
- National Key Research and Development Program of China