Protein fold recognition based on error correcting output codes and SVM.
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.
School of Information Science and Engineering, University of Jinan, Jinan 250022, People's Republic of China. yhchen@ujn.edu.cn
Yuehui
Y
Chen
Qing
Q
Chen
Feng
F
Chen
Yaou
Y
Zhao
D000465:Algorithms; D001185:Artificial Intelligence; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*
D011506:Proteins