A novel method for protein secondary structure prediction using dual-layer SVM and profiles.

@article{Guo2004ANM,
  title={A novel method for protein secondary structure prediction using dual-layer SVM and profiles.},
  author={Jian Guo and Hu Chen and Zhirong Sun and Yuanlie Lin},
  journal={Proteins},
  year={2004},
  volume={54 4},
  pages={738-43}
}
A high-performance method was developed for protein secondary structure prediction based on the dual-layer support vector machine (SVM) and position-specific scoring matrices (PSSMs). SVM is a new machine learning technology that has been successfully applied in solving problems in the field of bioinformatics. The SVM's performance is usually better than that of traditional machine learning approaches. The performance was further improved by combining PSSM profiles with the SVM analysis. The… CONTINUE READING
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