Mixture Models for Detecting Differentially Expressed Genes in Microarrays.
Liat Ben-Tovim JonesRichard BeanGeoffrey J. McLachlanJustin Xi ZhuPublished in: Int. J. Neural Syst. (2006)
Keyphrases
- mixture model
- differentially expressed genes
- microarray
- microarray data
- gene expression
- microarray data analysis
- gaussian mixture model
- high throughput
- density estimation
- em algorithm
- gene expression data
- generative model
- model selection
- gene selection
- probabilistic model
- unsupervised learning
- feature selection
- mixture modeling
- expectation maximization
- high dimensional
- high dimensionality
- data sets
- gene expression profiles
- language model
- maximum likelihood
- gene ontology
- microarray datasets
- cluster analysis
- gene expression analysis
- biological data
- genome wide
- semi supervised