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Showing 1–4 of 4 results
Advanced filters: Author: Barak Raveh Clear advanced filters
  • The Annotatability framework analyzes neural network training dynamics to interpret single-cell and spatial omics data. It identifies erroneous annotations and ambiguous cell states, infers trajectories from binary labels and enables signal-aware analysis.

    • Jonathan Karin
    • Reshef Mintz
    • Mor Nitzan
    ResearchOpen Access
    Nature Computational Science
    Volume: 4, P: 941-954
  • The structure of the yeast nuclear pore complex, determined at sub-nanometre precision using an integrative approach that combines a wide range of data, reveals details of its architecture, transport mechanism and evolutionary origins.

    • Seung Joong Kim
    • Javier Fernandez-Martinez
    • Michael P. Rout
    Research
    Nature
    Volume: 555, P: 475-482