Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects.
Kui WangShu-Kay NgGeoffrey J. McLachlanPublished in: BMC Bioinform. (2012)
Keyphrases
- gene expression profiles
- mixture model
- autoregressive
- random effects
- density estimation
- gene expression
- gaussian mixture model
- unsupervised learning
- mixture modeling
- microarray
- gene expression data
- probabilistic model
- em algorithm
- non stationary
- generative model
- microarray data
- clustering analysis
- self organizing maps
- random fields
- model selection
- expectation maximization
- maximum likelihood
- gene selection
- high dimensionality
- language model
- hidden markov models
- k means
- clustering method
- hierarchical structure
- feature selection
- subspace projections
- cross validation
- multiscale
- clustering algorithm