A Novel Method for Protein Subcellular Localization Based on Boosting and Probabilistic Neural Network.

Subcellular localization is a key functional characteristic of proteins. An automatic, reliable and efficient prediction system for protein subcellular localization is needed for large-scale genome analysis. In this paper, we introduce a novel subcellular prediction method combining boosting algorithm with probabilistic neural network algorithm. This new approach provided superior prediction performance compared with existing methods. The total prediction accuracy on Reinhardt and Hubbard's dataset reached up to 92.8% for prokaryotic protein sequences

• Type: Conference
• Year: 2004
• Where: APBC
• Authors: Jian Guo, Yuanlie Lin, Zhirong Sun
• Keywords: APBC 2004, APBC 2007, Prediction, Protein Subcellular Localization, Subcellular Localization