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Showing 1–4 of 4 results
Advanced filters: Author: Oisin Mac Aodha Clear advanced filters
  • Gene deletions alter cellular physiology in complex and poorly understood ways. Here, authors present a machine learning strategy to predict the impact of metabolic gene deletions, offering top predictive accuracy for gene essentiality across varied organisms and adaptable to many other phenotypes.

    • Charlotte Merzbacher
    • Oisin Mac Aodha
    • Diego A. Oyarzún
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-9
  • Synthetic biology often involves engineering microbial strains to express high-value proteins. Here the authors build deep learning predictors of protein expression from sequence that deliver accurate models with fewer data than previously assumed, helping to lower costs of model-driven strain design.

    • Evangelos-Marios Nikolados
    • Arin Wongprommoon
    • Diego A. Oyarzún
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-12