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Prediction and validation of protein–protein interactors from genome-wide DNA-binding data using a knowledge-based machine-learning approach

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Academic year: 2019

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Figure

Figure 1. Predictive workflow for identification of novel PPIs. The process of building and testing models is illustrated as four steps from (for the lasso, random forest and SVM algorithms evaluated against the withheld test set
Figure 2. Classification accuracy of unique and common genomic regions from repeated experiments
Figure 3. Knowledge-based model features. (as a feature, black not present. Hierarchical clustering was performed in STAMP [32] using default parameters, except trimming was disabled
Figure 4. Validation of predicted PPIs by yeast-2-hybrid assay (Y2H). (at four dilutions
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