A Mixture model with random-effects components for clustering correlated gene-expression profiles.
Shu-Kay NgGeoffrey J. McLachlanKui WangLiat Ben-Tovim JonesS.-W. NgPublished in: Bioinform. (2006)
Keyphrases
- mixture model
- gene expression profiles
- random effects
- unsupervised learning
- gene expression
- gaussian mixture model
- microarray
- density estimation
- em algorithm
- self organizing maps
- model selection
- probabilistic model
- gene expression data
- generative model
- clustering analysis
- microarray data
- gene selection
- expectation maximization
- probabilistic mixture model
- hierarchical structure
- maximum likelihood
- language model
- k means
- clustering method
- cluster analysis
- feature selection
- hidden markov models
- object recognition
- clustering algorithm