A framework for studying and engineering gene regulatory DNA sequences, based on deep neural sequence-to-expression models trained on large-scale libraries of random DNA, provides insight into the evolution, evolvability and fitness landscapes of regulatory DNA.
- Eeshit Dhaval Vaishnav
- Carl G. de Boer
- Aviv Regev