Rule summary for the 1<sup>st</sup> degree classifiable and unclassifiable peptides employing the simplified machine learning approach with understandable attributes (ML-simple) for the prediction of IVIG binding.
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aDetails on the attributes are given in File S3 (2. Attributes for Machine Learning). bWhether the rules state the value of the attribute should be high or low for a peptide to be binding. cThe percentage of binding peptides that were correctly classified by rules containing the attribute. This percentage roughly corresponds to the importance of the attribute.
创建时间:
2013-11-11



