A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments.
Philippe BroëtAlex LewinSylvia RichardsonCyril DalmassoHenri MagdelenatPublished in: Bioinform. (2004)
Keyphrases
- multi class
- microarray
- gene expression
- microarray data
- gene expression data
- gene ontology
- gene selection
- gene expression profiling
- differentially expressed genes
- gene networks
- gene gene
- microarray data analysis
- gene expression analysis
- gene expression profiles
- microarray datasets
- high throughput
- experimental conditions
- yeast cell cycle
- microarray technology
- gene expression datasets
- cancer classification
- dna microarray
- feature selection
- gene expression levels
- multiclass classification
- gene expression data sets
- biological processes
- high dimensionality
- cancer diagnosis
- support vector machine
- regulatory networks
- analysis of gene expression
- microarray expression data
- microarray analysis
- cost sensitive
- gene sets
- pairwise
- gene regulatory networks
- gene clusters
- gene expression patterns
- biological data
- colon cancer
- base classifiers
- feature extraction
- data sets