EDCLoc: a prediction model for mRNA subcellular localization using improved focal loss to address multi-label class imbalance
EDCLoc outperforms existing prediction tools in most subcellular regions and effectively mitigates class imbalance issues in multi-label classification. These advantages make EDCLoc a reliable choice for multi-label mRNA subcellular localization. The dataset and source code used in this study are available at https://github.com/DellCode233/EDCLoc .
Authors
- Yu Deng (ORCID: https://orcid.org/0000-0003-1800-9532)
- Jianhua Jia (ORCID: https://orcid.org/0000-0003-0929-7851)
- Mengyue Yi
Institutions
- Jingdezhen Ceramic Institute (CN)
Publication Details
- Journal
- BMC Genomics
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1186/s12864-024-11173-6
- Citations
- 1
- Primary Topic
- RNA and protein synthesis mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Education Department of Jiangxi Province