Max Horn

This study uses 1D-CNNs to predict PCR amplification bias from DNA sequences, identifying self-priming as a previously overlooked mechanism.

This paper introduces a supervised learning method using synthetic data to reconstruct gene regulatory networks from experimental time-series, showing superior performance compared to unsupervised methods.