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Figure 3 | BMC Bioinformatics

Figure 3

From: A novel strategy for classifying the output from an in silicovaccine discovery pipeline for eukaryotic pathogens using machine learning algorithms

Figure 3

Example of test applied to a predicted protein characteristic for the purpose of binary classification. In this example, proteins are listed in descending order based on the number of transmembrane (TM) domains per protein predicted by the program Phobius (input value = Phobius_TM). A threshold value of 0 is applied to the score (i.e. number of TM domains) to segregate the list into two classifications. Above the threshold is ‘YES’ for vaccine candidacy and below or equal is ‘NO’. The classification is compared with the expected classification to determine sensitivity and specificity performance measures.

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BMC Bioinformatics

ISSN: 1471-2105

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