BioinformaticsBioinformaticsPeer-reviewed
Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks
Žiga Avsec, Mohammadamin Barekatain, Jun Cheng, Julien Gagneur
This paper introduces a spline transformation module for deep neural networks to model distances in regulatory sequences, improving prediction accuracy for RNA-binding protein binding sites and splice branchpoints.
33 citations