GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data.
Jim C. HuangQuaid MorrisTimothy R. HughesBrendan J. FreyPublished in: ISMB (Supplement of Bioinformatics) (2005)
Keyphrases
- high density
- microarray data
- genome wide
- high throughput
- microarray
- gene expression
- gene function prediction
- gene expression data
- biological data
- gene selection
- human genome
- microarray data analysis
- data center
- systems biology
- gene networks
- microarray datasets
- gene ontology
- microarray classification
- gene expression analysis
- feature selection
- genomic data
- high dimensional
- high dimensionality
- experimental conditions
- gene function
- gene expression profiles
- cluster analysis
- dna microarray
- molecular biology
- transcription factors
- cancer classification
- gene expression patterns
- biological networks
- saccharomyces cerevisiae
- data sets
- data collection
- dimensionality reduction
- low cost
- clustering algorithm
- data mining