New class of sequence kernels for Gaussian processes that use substitution matrices and local linearity to enable data-efficient prediction of protein properties, with extensions to structure-aware multi-task learning.
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Flexible Kernels for Protein Property Prediction
New class of sequence kernels for Gaussian processes that use substitution matrices and local linearity to enable data-efficient prediction of protein properties, with extensions to structure-aware multi-task learning.