Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods.
Thomas VillmannFrank-Michael SchleifMarkus KostrzewaAxel WalchBarbara HammerPublished in: Briefings Bioinform. (2008)
Keyphrases
- learning vector quantization
- data sets
- data analysis
- classification method
- raw data
- data mining techniques
- statistical methods
- data reduction
- machine learning methods
- preprocessing
- training set
- data sources
- training data
- bayesian methods
- benchmark datasets
- model selection
- large scale data sets
- input data
- data points
- feature space
- decision trees
- supervised learning
- machine learning algorithms
- knowledge discovery
- self organizing maps
- active learning
- pattern recognition
- feature subset
- classification models
- support vector
- reinforcement learning
- machine learning