Saman Tabatabaee

May 29, 2024 | biorxiv.org | Sahin Naqvi |Seungsoo Kim |Saman Tabatabaee |Anusri Pampari

AbstractDeep learning approaches have made significant advances in predicting cell type-specific chromatin patterns from the identity and arrangement of transcription factor (TF) binding motifs. However, most models have been applied in unperturbed contexts, precluding a predictive understanding of how chromatin state responds to TF perturbation.