Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins

@article{Nanni2008UsingEO,
  title={Using ensemble of classifiers for predicting HIV protease cleavage sites in proteins},
  author={Loris Nanni and Alessandra Lumini},
  journal={Amino Acids},
  year={2008},
  volume={36},
  pages={409-416}
}
The focus of this work is the use of ensembles of classifiers for predicting HIV protease cleavage sites in proteins. Due to the complex relationships in the biological data, several recent works show that often ensembles of learning algorithms outperform stand-alone methods. We show that the fusion of approaches based on different encoding models can be useful for improving the performance of this classification problem. In particular, in this work four different feature encodings for peptides… CONTINUE READING
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