Gene Expression Clustering with Functional Mixture Models.
Darya ChudovaChristopher E. HartEric MjolsnessPadhraic SmythPublished in: NIPS (2003)
Keyphrases
- gene expression
- mixture model
- microarray
- density estimation
- microarray gene
- mixture modeling
- gene expression profiles
- unsupervised learning
- gene expression data analysis
- gaussian mixture model
- gene expression analysis
- gene expression data
- microarray data analysis
- model based clustering
- em algorithm
- probabilistic model
- generative model
- microarray data
- gene expression patterns
- expectation maximization
- model selection
- clustering method
- k means
- language model
- biological networks
- gene regulation
- biological processes
- high dimensionality
- gene selection
- clustering algorithm
- binding sites
- regulatory networks
- document clustering
- high throughput
- maximum likelihood
- hierarchical clustering
- machine learning
- cluster analysis
- biclustering algorithms
- data points
- image processing
- feature selection