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Fig. 1 | BMC Bioinformatics

Fig. 1

From: Antimicrobial peptide similarity and classification through rough set theory using physicochemical boundaries

Fig. 1

Rough Set Theory Rule Generation. A) Venn diagram of active and inactive peptides. A rule (R1) is the intersection of conditions (C1and C2). Each rule must be selective for either active or inactive peptides. The minimum accuracy allowed for a rule is a user-defined parameter α. B) Venn diagram showing multiple rules as the intersection of conditions in 2-D space. The selection of conditions that lead to rules is a feature selection process that chooses the most relevant conditions to describe the physicochemical boundaries. A rule set is the collection of all rules describing the boundaries for either activity or inactivity

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