A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences

Title
A Generative Neural Network for Maximizing Fitness and Diversity of Synthetic DNA and Protein Sequences
Authors
Keywords
genomics, proteomics, deep learning, generative neural network, generative adversarial network, alternative polyadenylation, differential splicing, protein design, sequence design
Journal
Cell Systems
Volume 11, Issue 1, Pages 49-62.e16
Publisher
Elsevier BV
Online
2020-06-25
DOI
10.1016/j.cels.2020.05.007

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