Improving genetic variant identification for quantitative traits using ensemble learning-based approaches
In conclusion, our ensemble learning approach effectively identifies variants associated with QTs, and we expect its performance to improve further with the integration of T2T and pangenome references in future GWAS.
Authors
- Pankaj Yadav (ORCID: https://orcid.org/0000-0001-7160-9209)
- Rajveer Singh Shekhawat (ORCID: https://orcid.org/0000-0002-5465-3547)
- Vaishnavi Jangale
- Jyoti Sharma (ORCID: https://orcid.org/0000-0003-3299-9907)
Institutions
- Indian Institute of Technology Jodhpur (IN)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-03-12
- DOI
- https://doi.org/10.1186/s12864-025-11443-x
- Citations
- 2
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 3.63
Funders
- Department of Biotechnology, Ministry of Science and Technology, India