Class discovery and classification of tumor samples using mixture modeling of gene expression data - a unified approach.
Roxana AlexandridisShili LinMark IrwinPublished in: Bioinform. (2004)
Keyphrases
- tissue samples
- gene expression data
- tumor classification
- cancer diagnosis
- gene expression datasets
- microarray
- analysis of gene expression data
- mixture modeling
- dna microarray
- microarray datasets
- gene expression
- high dimensionality
- cancer classification
- gene expression profiles
- gene expression analysis
- feature selection
- gene selection
- cancer datasets
- informative genes
- data sets
- microarray data
- density estimation
- class labels
- pattern recognition
- feature space
- training set
- feature vectors
- knowledge discovery
- classification accuracy
- cell nuclei
- breast cancer
- high throughput
- high dimensional data
- training samples
- data mining
- mixture model
- text classification
- supervised learning
- support vector machine
- support vector
- machine learning