Combining singular value decomposition and t-test into hybrid approach for significant gene extraction from microarray data.
Mohammed Al-ShalalfaReda AlhajjJon G. RoknePublished in: BIBE (2008)
Keyphrases
- singular value decomposition
- microarray data
- microarray
- gene expression
- gene selection
- gene expression data
- gene clusters
- biologically relevant
- gene networks
- microarray gene expression data
- dna microarray data
- gene sets
- microarray datasets
- biologically meaningful
- differentially expressed genes
- meta analysis
- singular values
- statistical significance
- cancer classification
- high throughput
- informative genes
- microarray data analysis
- dna microarray
- gene expression profiles
- feature selection
- dimensionality reduction
- least squares
- microarray analysis
- high dimensional
- gene expression patterns
- gene expression analysis
- regulatory networks
- dimension reduction
- gene ontology
- data sets
- biological data
- principal component analysis
- high dimensionality
- cancer diagnosis
- small sample size
- fold cross validation
- computer vision