Supervised learning of protein variant effects across large-scale mutagenesis datasets
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The increasing availability of data from multiplexed assays of variant effects (MAVEs) enables supervised model training against large quantities of experimental data to learn sequence-function relationships. Variant effect scores from MAVEs can, however, be i... ...
