Hierarchical Artificial Intelligence Maps Long-Range DNA Signals Controlling RNA Splicing (IMAGE)

The Institute of Medical Science, The University of Tokyo

Hierarchical Artificial Intelligence Maps Long-Range DNA Signals Controlling RNA Splicing

Caption

A hierarchical Transformer model analyzes DNA sequences spanning up to 100,000 base pairs, linking distant regulatory elements with splice-site activity while highlighting biologically important regions through attention maps.

Credit

Professor Kenta Nakai from the Institute of Medical Science, The University of Tokyo, Japan Image source link: https://doi.org/10.1093/nar/gkag625

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