SVGI
A Graph-to-Image Representation Framework for Modeling Splice-Site Responses in SMN2 Exon 7 Variants
SVGI models treatment-induced splicing responses across 285 engineered SMN2 exon 7 5′ splice-site variants by combining ΔPSI, replicate-normalized responsiveness, co-splicing network connectivity, GAT-derived graph geometry, Gromov–Wasserstein grid mapping, and image-based classification. In sealed five-fold out-of-fold evaluation, ROC-AUC was 0.641 for branaplam and 0.717 for risdiplam, with average precision of 0.328 and 0.467.
Focus direction: SMN2 Splicing