Classification of microarray data with factor mixture models.
Francesca MartellaPublished in: Bioinform. (2006)
Keyphrases
- microarray data
- mixture model
- microarray data analysis
- dna microarray data
- feature selection
- density estimation
- cancer classification
- microarray
- microarray datasets
- gene selection
- unsupervised learning
- gaussian mixture model
- classification accuracy
- gene expression data
- dna microarray
- model selection
- probabilistic model
- small number of samples
- gene expression profiles
- gene expression
- ovarian cancer
- generative model
- data sets
- decision trees
- em algorithm
- mixture modeling
- cluster analysis
- cancer diagnosis
- language model
- support vector
- feature vectors
- high dimensional
- high dimensionality
- expectation maximization
- text classification
- feature extraction
- pattern recognition
- support vector machine svm
- cross validation
- maximum likelihood
- feature space
- data mining
- training data
- active learning
- supervised learning
- factor analysis
- training samples