AZoLifeSciences on MSN
Deep learning–based codon optimization framework boosts protein expression in E coli
By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...
A hyper-realistic Einstein robot learned to smile and make facial expressions through a process of self-guided learning. The researchers used machine learning to "empower" their robot to learn to make ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
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