A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants.
Jianjiong GaoGanesh Kumar AgrawalJay J. ThelenZoran ObradovicA. Keith DunkerDong XuPublished in: BICoB (2009)
Keyphrases
- machine learning
- protein sequences
- amino acids
- protein secondary structure
- subcellular localization
- protein structure prediction
- protein secondary structure prediction
- contact map
- computational biology
- experimentally determined
- protein structure
- protein classification
- recursive neural networks
- contact maps
- website
- prediction accuracy
- secondary structure
- predicting protein
- protein tertiary structure
- decision trees
- remote homology detection
- drug design
- physicochemical properties
- protein function
- protein homology
- pattern recognition
- prediction algorithm
- data analysis
- support vector machine
- feature ranking
- learning algorithm
- artificial intelligence
- amino acid sequences
- machine learning methods
- machine learning algorithms
- data mining
- drug discovery
- active learning
- text classification
- knowledge acquisition
- knowledge discovery
- protein function prediction
- computer science
- physico chemical
- prediction error
- sequence analysis
- sequence alignment
- predictive modeling