Advances and challenges of splicing prediction with AI - PubMed
3 hours ago
- #precision medicine
- #AI
- #RNA splicing
- AI enhances RNA alternative splicing prediction, which is crucial for understanding and treating human diseases.
- Predictive performance depends on data scale, output resolution, splicing quantification, and model complexity.
- Applications include variant effect annotation and antisense oligonucleotide development.
- Challenges involve deep-intronic mutations, isoform reconstruction, and multimodal data integration.