DeepAnnotation: A novel interpretable deep learning–based genomic selection model that integrates comprehensive functional annotations
DeepAnnotation is an open-source, interpretable deep learning approach for phenotype prediction, leveraging comprehensive multiomics functional annotations. Freely accessible via GitHub and Docker, it provides a valuable tool for researchers and practitioners in genomic selection.
Authors
- Bowen Lei (ORCID: https://orcid.org/0000-0003-4980-6702)
- Wen-long Ma (ORCID: https://orcid.org/0000-0002-7655-8612)
- Chao Wang (ORCID: https://orcid.org/0000-0002-4649-3176)
- Weigang Zheng
- Yuwen Liu
- Shenghua Qin
Institutions
- Huazhong Agricultural University (CN)
- Agricultural Genomics Institute at Shenzhen (CN)
- Ministry of Agriculture (CA)
- Chinese Academy of Agricultural Sciences (CN)
Publication Details
- Journal
- GigaScience
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/gigascience/giaf083
- Citations
- 1
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- Ministry of Science and Technology of the People's Republic of China