Crossfeat: a transformer-based cross-feature learning model for predicting drug side effect frequency
Our model offers a promising approach for predicting the drug side effect frequencies, particularly for new drugs where prior information is limited. CrossFeat's superior performance in cross-validation experiments, along with evidence from case studies and ablation experiments, highlights its effectiveness.
Authors
- Bin Baek
- Hyunju Lee (ORCID: https://orcid.org/0000-0003-2389-7183)
Institutions
- Gwangju Institute of Science and Technology (KR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1186/s12859-024-05915-2
- Citations
- 6
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 2.17
Funders
- Ministry of Science and ICT, South Korea
- Institute for Information and Communications Technology Promotion