EasyGeSe – a resource for benchmarking genomic prediction methods
By standardizing input data and evaluation procedures, this resource simplifies benchmarking and enables fair, reproducible comparisons of genomic prediction methods. It also broadens access to genomic prediction data, encouraging data scientists and interdisciplinary researchers to test novel modelling strategies.
Authors
- Steven Yates (ORCID: https://orcid.org/0000-0001-5904-0072)
- Bruno Studer (ORCID: https://orcid.org/0000-0001-8795-0719)
- Carles Quesada‐Traver (ORCID: https://orcid.org/0000-0002-5880-7902)
- Daniel Ariza-Suárez (ORCID: https://orcid.org/0000-0002-1871-3514)
Institutions
- ETH Zurich (CH)
Publication Details
- Journal
- BMC Genomics
- Published
- 2025-10-24
- DOI
- https://doi.org/10.1186/s12864-025-12129-0
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 0.00