Leveraging Deep Learning to Simulate Coronavirus Spike proteins has the potential to predict future Zoonotic sequences

Research output: Working paperPreprint

Filter
Conference contribution

Search results

  • 2022

    Deep Recurrent Neural Networks for the Generation of Synthetic Coronavirus Spike Protein Sequences

    Crossman, L. C., 2022, Computational Intelligence Methods for Bioinformatics and Biostatistics: 17th International Meeting, CIBB 2021, Virtual Event, November 15–17, 2021, Revised Selected Papers. Chicco, D., Facchiano, A., Tavazzi, E., Longato, E., Vettoretti, M., Bernasconi, A., Avesani, S. & Cazzaniga, P. (eds.). Springer, p. 217-226 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13483 LNBI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution