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Latent-Space Codon Optimization (LSCO) is introduced, which recasts this discrete problem as a continuous one by mapping sequences into the latent space of a pretrained mRNA language model, enabling efficient gradient-based search.
PaSTel is introduced, a hierarchical multimodal pretraining framework that integrates biological priors at three levels that consistently outperforms existing vision and vision-omics encoders, demonstrating that incorporating multiscale biological priors yields more informative and transferable representations for spat...
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