Feature Selection Based on Activation of Signaling Pathways Applied for Classification of Samples in Microarray Studies.
Henryk MaciejewskiPublished in: ICAISC (2) (2012)
Keyphrases
- microarray
- microarray datasets
- feature selection
- dna microarray
- high dimensionality
- microarray data
- microarray analysis
- gene expression
- gene expression data
- gene expression datasets
- cancer classification
- gene selection
- high throughput
- microarray data analysis
- gene expression data sets
- regulatory networks
- tissue samples
- gene expression profiles
- gene ontology
- molecular biology
- cancer diagnosis
- biological processes
- model selection
- feature ranking
- experimental conditions
- signaling pathways
- feature space
- systems biology
- mutual information
- data sets
- biological networks
- transcription factors
- dimensionality reduction
- training set
- feature extraction
- machine learning
- high dimensional