Central Dogma Transformer II: an interpretable model for cellular gene regulation

A revised arXiv preprint introduces Central Dogma Transformer II, a transformer-based model framed as an 'AI microscope' for studying cellular regulatory mechanisms. The authors argue that gene-regulation research requires models whose learned internal structure can be directly examined and mapped onto regulatory relationships, rather than opaque but accurate predictors. The update refines the paper's case for interpretability as a core requirement in computational biology.