Predicting the Cellular Localization Sites of Proteins Using Decision Tree and Neural Networks

@inproceedings{Chen2008PredictingTC,
  title={Predicting the Cellular Localization Sites of Proteins Using Decision Tree and Neural Networks},
  author={Yetian Chen},
  year={2008}
}
In this paper, we describe the implementation of a set of machine learning techniques: Decision Tree, Perceptrons, Two-layer feed-forward Neural Networks. We describe the application of these techniques to the problem of classifying proteins into their various cellular localization sites based on their amino acid sequences. We evaluate the performance of each technique by analyzing the prediction accuracies on two datasets: classifying 336 E.coli proteins into 8 classes and classifying 1484… CONTINUE READING