Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences
Fig 5
Amino acid summary statistics differ from PoSHAP values for the CCS data.
(A) Amino acid counts as a function of position for training data. (B) Procedure for picking the ‘top peptides’ with the highest CCS. Linear regression was performed on the peptides ranked by their actual CCS value. Any peptide that fell above the trendline and overall mean were defined as ‘top peptides’. (C) Counts of amino acids for the top peptides were summarized in a heatmap. (D) Mean SHAP values across amino acids and positions from PoSHAP analysis.