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Figure 5 | BMC Bioinformatics

Figure 5

From: Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method

Figure 5

Combining peptide and library data improves prediction quality. A set of 449 9-mer peptides with measured affinities for TAP taken from [20] was split into 5 blind sets. For each of these blind sets, predictions where made from different size subsets of the remaining peptides. The x-axis depicts the number of peptides in these subsets used for generating predictions using either the peptides alone (circles) or in combination with data from a combinatorial peptide library (squares). The dashed line displays the prediction of the library alone, which was taken from [15]. The y-axis depicts the L2<> distance of the predictions for the combined 5 blind sets.

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