Combining Generalized NMF and Discriminative Mixture Models for Classification of Gene Expression Data.
Weixiang LiuKehong YuanJian WuDatian YeZhen JiSiping ChenPublished in: Int. J. Pattern Recognit. Artif. Intell. (2008)
Keyphrases
- gene expression data
- mixture model
- unsupervised learning
- density estimation
- high dimensionality
- feature selection
- gene expression
- model selection
- microarray
- gene expression profiles
- cancer classification
- gaussian mixture model
- gene expression analysis
- data matrix
- microarray datasets
- microarray data
- gene expression datasets
- generative model
- analysis of gene expression data
- dna microarray
- feature space
- em algorithm
- feature extraction
- support vector machine
- nonnegative matrix factorization
- data sets
- machine learning
- feature vectors
- support vector
- pattern recognition
- probabilistic model
- gene selection
- supervised learning
- negative matrix factorization
- expectation maximization
- dirichlet distribution
- support vector machine svm
- semi supervised
- high throughput
- high dimensional
- pairwise
- training set
- object recognition
- tissue samples
- high dimensional data