1) Interpretable models trained on scATAC are accurate and cell-class-specific.
2) Models identify emergent features of enhancers such as putative TF binding motifs.
3) Variant Impact Prediction scores allow quick prioritization of retinal disease associated regulatory variants.
1) Interpretable models trained on scATAC are accurate and cell-class-specific.
2) Models identify emergent features of enhancers such as putative TF binding motifs.
3) Variant Impact Prediction scores allow quick prioritization of retinal disease associated regulatory variants.