| http://www.w3.org/ns/prov#value | - available, based on variations of general methodologies, such as machine learning approaches including neural networks, support vector machines, etc. using feature descriptors ranging from simple amino acid compositions over physical properties to structure-derived parameters.In this work, we aimed at selecting predictors that are representative of methodological subgroups described in Table ???T
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