A Probabilistic Classification System for Predicting the Cellular Localization Sites of Proteins

  title={A Probabilistic Classification System for Predicting the Cellular Localization Sites of Proteins},
  author={Paul Horton and Kenta Nakai},
  journal={Proceedings. International Conference on Intelligent Systems for Molecular Biology},
We have defined a simple model of classification which combines human provided expert knowledge with probabilistic reasoning. We have developed software to implement this model and have applied it to the problem of classifying proteins into their various cellular localization sites based on their amino acid sequences. Since our system requires no hand tuning to learn training data, we can now evaluate the prediction accuracy of protein localization sites by a more objective cross-validation… CONTINUE READING
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