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SymFold outperforms existing methods in protein inverse folding by effectively combining evolutionary and structural insights for sequence generation.
Predicting transcriptional changes from unpaired single-cell data is revolutionized by PopPert, which eliminates the need for cell-level correspondence and enhances robustness against noise.