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Predicting synthetic lethal interactions using conserved patterns in protein interaction networks

Fig 2

A set of violin plots illustrating the value distributions for each feature in our human training set grouped into SSL and non-SSL classes.

The features were derived from 411 SSL and 411 non-SSL gene pairs (see S6 Table). Feature distributions that show greater variance between SSL and non-SSL gene pair classes, for example the shortest path feature, often provide improved predictive power in classifiers.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1006888.g002