Comprehensive Evaluation of Deep Learning Architectures for Prediction of DNA/RNA Sequence Binding Specificities

2 code implementations • 29 Jan 2019 • Ameni Trabelsi, Mohamed Chaabane, Asa Ben Hur

For this purpose, we present deepRAM, an end-to-end deep learning tool that provides an implementation of novel and previously proposed architectures; its fully automatic model selection procedure allows us to perform a fair and unbiased comparison of deep learning architectures.

Automatic Machine Learning Model Selection Model Selection +1