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Fig. 3 | BMC Bioinformatics

Fig. 3

From: SLALOM, a flexible method for the identification and statistical analysis of overlapping continuous sequence elements in sequence- and time-series data

Fig. 3

Schematic example of evaluating a predictor with and without adjusting for sequence length. Black lines illustrate two query sequences (100 and 25 residues long). Two benchmark CSEs (both 5 residues long) are drawn as short blue lines; two predicted CSEs (also 5 residues long) are shown as short red lines. In the upper panel, the prediction worked correctly in the longer sequence but not in the shorter, and vice versa in the lower panel. With sequence length adjustment turned on, the actual residue counts are divided through the sequence length before proceeding to averaging and calculating performance measures. Otherwise, residue counts are summed up. The precision is computed as TP/(TP + FP)

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