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Figure 1 | BMC Bioinformatics

Figure 1

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

Figure 1

A schematic of a typical in silico vaccine discovery pipeline output. A typical in silico pipeline output is a collection of different protein characteristics that are predicted by bioinformatics programs. The schematic depicts a collection of some of the scores (potential evidence) associated with these predicted characteristics. A collection of scores for one protein is referred to as an evidence profile in the study. Each column represents a potential input variable or predictor for machine learning algorithms. The last column is a ‘YES’ or ‘NO’ as to whether the protein is expected to be a vaccine candidate (a requirement for machine learning training data) and represents the target variable i.e. the variable to be predicted for new profiles.

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BMC Bioinformatics

ISSN: 1471-2105

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