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Figure 5 | Genome Biology

Figure 5

From: Systematic analysis of genome-wide fitness data in yeast reveals novel gene function and drug action

Figure 5

Drug target prediction accuracy (ten-fold cross validation) using one of four algorithms: log 2 ratio fitness defect with a simple decision stump model (red); log 2 ratio fitness defect with a richer random forest model (green); the chemical structure similarity features with the random forest model (blue); and all features with the random forest model (purple). Each point represents a threshold for the algorithm. For the decision stump, each point represents a single log2 ratio value, and for the random forest, each point represents the algorithm's decision as a mode of decision trees that use the available features (see Materials and methods). The accuracies of other algorithms are shown in Supplementary Figure 7 in Additional file 1. (a) Performance on the expert-curated reference set of compounds and their known interacting yeast proteins. (b) Performance on DrugBank protein-compound interactions (mostly human) mapped to yeast through protein homology.

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