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Showing 1–3 of 3 results
Advanced filters: Author: Arnav Sharma Clear advanced filters

  • Mutational effect transfer learning (METL) is a protein language model framework that unites machine learning and biophysical modeling. Transformer-based neural networks are pretrained on biophysical simulation data to capture fundamental relationships between protein sequence, structure and energetics.

    • Sam Gelman
    • Bryce Johnson
    • Philip A. Romero
    ResearchOpen Access
    Nature Methods
    Volume: 22, P: 1868-1879

  • Fast and simultaneous identification of multiple viable pathogens on food is critical to public health. By integrating paper chromogenic arrays (PCAs) and machine learning, a system was developed to automatically recognize PCA patterns on multiplexed viable pathogens with strain-level specificity.

    • Manyun Yang
    • Xiaobo Liu
    • Boce Zhang
    Research
    Nature Food
    Volume: 2, P: 110-117