AI deciphers long-range DNA signals behind RNA splicing
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect splicing remains a major challenge. Although recent artificial intelligence (AI) models have improved splice-site prediction, many struggle to capture regulatory signals located...
Image: Phys.org
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect splicing remains a major challenge. Although recent artificial intelligence (AI) models have improved splice-site prediction, many struggle to capture regulatory signals located thousands of DNA bases away from the sites they influence.
Originally published at Phys.org
