Machine learning based prediction for peptide drift times in ion mobility spectrometry.
Anuj R. ShahKhushbu AgarwalErin S. BakerMudita SinghalAnoop M. MayampurathYehia M. IbrahimLars J. KangasMatthew E. MonroeRui ZhaoMikhail E. BelovGordon A. AndersonRichard D. SmithPublished in: Bioinform. (2010)
Keyphrases
- machine learning
- prediction accuracy
- artificial intelligence
- decision trees
- protein classification
- pattern recognition
- learning algorithm
- data mining
- predictive modeling
- prediction error
- prediction model
- machine learning methods
- learning systems
- knowledge acquisition
- support vector machine
- supervised learning
- machine learning algorithms
- protein secondary structure prediction
- mobile agents
- reinforcement learning
- machine learning approaches
- computer vision
- mass spectrometry
- prediction algorithm
- computer science
- protein sequences
- active learning
- inductive learning
- knowledge representation
- knowledge discovery
- feature selection
- model selection