Improved prediction of Multi-domains in protein chains using a Support Vector Machine
نویسندگان
چکیده
A two pronged strategy, one involving the Support Vector Machine (SVM) as the classifier and the other including physicochemical properties as additional features, is proposed and implemented here for improved prediction of multi-domains in protein chains. It is experimentally observed to have achieved an accuracy of 76.46 after 25 fold cross validation of results on curated data, derived from CATH database.
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