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VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning

Fig 2

Summary of significant variant associations and prediction accuracies from 93 species-antibiotics combinations.

Both heatmaps display the counts of curated isolates by the combination of 9 bacterial species and 29 antibiotics from 13 drug categories. The boxes without a number indicates that no isolates were available for this particulawr bacterial species and antibiotic combination. A) the color of the boxes indicates the number of gene-antibiotic resistance associations with FDR adjusted p-values <0.05 from VAMPr association models, and the actual numbers are shown within the parenthesis; B) the color indicates cross-validated prediction accuracies from VAMPr prediction models, and the accuracies are shown within the parenthesis.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1007511.g002