A mixture model approach for gene selection using Johnson's system and Bayes formula.
Florence GeorgeKandethody M. RamachandranPublished in: Neural Parallel Sci. Comput. (2008)
Keyphrases
- mixture model
- gene selection
- microarray data
- microarray
- cancer classification
- em algorithm
- gaussian mixture model
- probabilistic model
- generative model
- support vector machine
- gene expression data
- model selection
- gene expression profiles
- gene expression
- unsupervised learning
- maximum likelihood
- decision trees
- expectation maximization
- support vector machine svm
- feature selection
- high throughput
- language model
- support vector
- image processing
- cluster analysis
- high dimensional