A mixture model with a reference-based automatic selection of components for disease classification from protein and/or gene expression levels.
Ivica KoprivaMarko FilipovicPublished in: BMC Bioinform. (2011)
Keyphrases
- mixture model
- automatic selection
- model selection
- unsupervised learning
- em algorithm
- supervised learning
- probabilistic model
- expectation maximization
- generative model
- gene expression levels
- decision trees
- pattern recognition
- text classification
- maximum likelihood
- feature extraction
- data sets
- support vector machine
- training set
- feature space
- microarray data analysis
- feature selection
- feature vectors