Armando Solar-Lezama

The paper shows that neural RNA splicing models rely on reading frame information that the splicing machinery cannot access, leading to errors in predicting poison exons.

The paper introduces an interpretable neural model for RNA splicing that improves RBP binding and activity predictions using an Adjusted Motif architecture.