@misc{indiciae7ccbffedf6e0,
  title = {Machine Learning Optimization of Candidate Antibodies Yields Highly Diverse Sub-nanomolar Affinity Antibody Libraries},
  author = {Li, L. and Gupta, E. and Spaeth, J. and Shing, L. and Jaimes, R. and Caceres, R. S. and Bepler, T. and Walsh, M. E.},
  year = {2022},
  doi = {10.1101/2022.10.07.502662},
  url = {https://www.biorxiv.org/content/10.1101/2022.10.07.502662v1},
  note = {Source identifier: 10.1101/2022.10.07.502662}
}