Protein Fold Class Prediction: New Methods of Statistical Classification

@article{Grassmann1999ProteinFC,
  title={Protein Fold Class Prediction: New Methods of Statistical Classification},
  author={Janet Grassmann and Martin Reczko and S{\'a}ndor Suhai and Lutz Edler},
  journal={Proceedings. International Conference on Intelligent Systems for Molecular Biology},
  year={1999},
  pages={106-12}
}
Feed forward neural networks are compared with standard and new statistical classification procedures for the classification of proteins. We applied logistic regression, an additive model and projection pursuit regression from the methods based on a posterior probabilities; linear, quadratic and a flexible discriminant analysis from the methods based on class conditional probabilities, and the K-nearest-neighbors classification rule. Both, the apparent error rate obtained with the training… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS