Accounting for probe-level noise in principal component analysis of microarray data.
Guido SanguinettiMarta MiloMagnus RattrayNeil D. LawrencePublished in: Bioinform. (2005)
Keyphrases
- microarray data
- principal component analysis
- microarray
- gene expression
- gene selection
- gene expression data
- high dimensional
- microarray classification
- meta analysis
- cluster analysis
- data sets
- biologically meaningful
- feature selection
- microarray data analysis
- dna microarray data
- gene clusters
- differentially expressed genes
- small number of samples
- microarray gene expression data
- gene networks
- biological data
- cancer classification
- dimensionality reduction
- biologically relevant
- gene expression patterns
- gene expression analysis
- image processing
- linear discriminant analysis
- low dimensional
- feature space
- gene sets
- microarray datasets
- face recognition
- discriminant analysis