Feature Analysis and Classification of Protein Secondary Structure Data

@inproceedings{Shi2003FeatureAA,
  title={Feature Analysis and Classification of Protein Secondary Structure Data},
  author={Stanley Y. M. Shi and Ponnuthurai Nagaratnam Suganthan},
  booktitle={ICANN},
  year={2003}
}
In this paper, we investigate feature analysis for the prediction of the secondary structure of protein sequences using support vector machines (SVMs) and k-nearest neighbor algorithm (kNN). We apply feature selection and scaling techniques to obtain a number of distinct feature subsets with different features and each scaled differently. The feature selection and the scaling are performed using the mutual information (MI). We formulate the feature selection and scaling as combinatorial… CONTINUE READING

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