Differentiable biology: using deep learning for biophysics-based and data-driven modeling of molecular mechanisms.
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DOI: 10.1038/s41592-021-01283-4
Abstract: Deep learning using neural networks relies on a class of machine-learnable models constructed using 'differentiable programs'. These programs can combine mathematical equations specific to a particular domain of natural science with general-purpose, machine-learnable components trained… read more here.
Keywords: differentiable biology; deep learning; biology; biophysics ... See more keywords