FluxGAT introduces a graph neural network (GNN) model designed to predict gene essentiality by utilising graphical representations derived from flux sampling data. This approach effectively bypasses the traditional reliance on objective functions in flux balance analysis (FBA), thereby reducing observer bias.
☆11Mar 5, 2026Updated 7 months ago
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