Embedding selection mechanisms into generative simulators enables amortized Bayesian inference to produce debiased, well-calibrated posteriors without tractable likelihoods.
and Porter, Frederick W
2 Pith papers cite this work. Polarity classification is still indexing.
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BERT-GA framework optimizes therapeutic mRNA sequences to CAI 0.73-0.74, tAI 0.63-0.64, balanced MFE around -350 kcal/mol, and reduced CpG/UpA motifs, claiming better equilibrium than Linear Design or BiLSTM-CRF.
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An Evolutionary Approach for Designing Stable and Highly Expressible Low-Immunogenicity Therapeutic mRNA Sequences
BERT-GA framework optimizes therapeutic mRNA sequences to CAI 0.73-0.74, tAI 0.63-0.64, balanced MFE around -350 kcal/mol, and reduced CpG/UpA motifs, claiming better equilibrium than Linear Design or BiLSTM-CRF.