Extended Data Fig. 10: Performance of linear model using only one feature per site (not per amino acid at each site).
From: Learning protein fitness models from evolutionary and assay-labeled data
In addition to the linear model with one-hot encoded, site-specific amino acid features, we also evaluated a simpler linear model with position-only features that encode which sites are mutated. The evaluation uses Spearman correlation. Each column shows the performance when training on randomly sampled single mutants and then separately testing on single, double, or triple mutants, none of which were in the training data. Error bars are centered at the mean and indicate bootstrapped 95% confidence interval from 20 random data splits.
