A Deep Neural Network for Predicting and Engineering Alternative PolyadenylationNicholas Bogard, Georg Seelig, Johannes Linder et al.|Cell|2019Cited by 243
A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein SequencesJohannes Linder, Georg Seelig, Nicholas Bogard et al.|Cell Systems|2020Cited by 122
Deep exploration networks for rapid engineering of functional DNA sequencesJohannes Linder, Georg Seelig, Nicholas Bogard et al.|bioRxiv (Cold Spring Harbor Laboratory)|2019Cited by 18
Predicting the Impact of cis-Regulatory Variation on Alternative PolyadenylationNicholas Bogard, Georg Seelig, Johannes Linder et al.|bioRxiv (Cold Spring Harbor Laboratory)|2018Cited by 4