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Showing 1 to 1 of 1 for “"quantitative predictive modelling"”.

  1. Support Vector Machine-based Fuzzy Systems for Quantitative Prediction of Peptide Binding Affinity

    … of the most challenging but important complex modelling problems in the post-genome era due to the diversity and functionality of the peptides discovered. Generally, peptide binding prediction models are commonly used to find out whether a binding exists between a certain peptide(s) and a major …

    de-montfort Repository record for Support Vector Machine-based Fuzzy Systems for Quantitative Prediction of Peptide Binding Affinity (opens in a new tab)