A self-supervised DNA foundation model with collapse-resistant multimodal fusion
This work presents a self-supervised DNA-centric multimodal foundation model integrating DNA sequence embeddings with local and global chromatin accessibility in a shared encoder to produce reusable window-level embeddings that improve regulatory activity prediction, regulatory signal ranking and chromatin accessibility peak detection.