Deep Learning for RNA Synthetic Biology
N. Angenent-Mari, A. Garruss, L. R. Soenksen, G. Church, J. Collins
The paper uses deep neural networks to predict toehold switch function in RNA synthetic biology, outperforming existing models and providing visual insights into their behavior.
bioRxiv · Dec 11, 2019 · PreprintBioengineering