A Bayesian network approach to feature selection in mass spectrometry data.
Karl W. KuschnerDariya I. MalyarenkoWilliam E. CookeLisa H. CazaresO. John SemmesEugene R. TracyPublished in: BMC Bioinform. (2010)
Keyphrases
- mass spectrometry data
- feature selection
- bayesian networks
- cancer classification
- pattern classification
- high throughput
- naive bayes
- mutual information
- microarray data
- feature set
- gene selection
- feature extraction
- microarray
- random forest
- mass spectrometry
- text categorization
- gene expression data
- information gain
- classification accuracy
- biomarker discovery
- machine learning
- structure learning
- text classification
- multi class
- support vector machine
- high accuracy
- microarray datasets
- gene expression profiles
- real time
- unsupervised learning
- dimensionality reduction
- knn
- feature selection algorithms
- feature space
- pattern recognition
- support vector
- decision trees
- image processing