Protein Fold Recognition Based on Error Correcting Output Codes and SVM

Yuehui      Chen; Qing      Chen; Feng      Chen; Yaou      Zhao

doi:10.2174/092986608784567564

Abstract

A new approach based on the implementation of support vector machine (SVM) with the error correcting output codes (ECOC) is presented for recognition of multi-class protein folds. The experimental show that the proposed method can improve prediction accuracy by 4%-10% on two datasets containing 27 SCOP folds.

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Protein & Peptide Letters

Title: Protein Fold Recognition Based on Error Correcting Output Codes and SVM

Volume: 15 Issue: 5

Author(s): Yuehui Chen, Qing Chen, Feng Chen and Yaou Zhao

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Abstract: A new approach based on the implementation of support vector machine (SVM) with the error correcting output codes (ECOC) is presented for recognition of multi-class protein folds. The experimental show that the proposed method can improve prediction accuracy by 4%-10% on two datasets containing 27 SCOP folds.

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Chen Yuehui, Chen Qing, Chen Feng and Zhao Yaou, Protein Fold Recognition Based on Error Correcting Output Codes and SVM, Protein & Peptide Letters 2008; 15 (5) . https://dx.doi.org/10.2174/092986608784567564