On probe-level interference and noise modeling in gene expression microarray experiments.
Paul G. FlikkemaPublished in: EUSIPCO (2006)
Keyphrases
- microarray
- gene expression
- high throughput
- gene expression data
- microarray data
- gene expression analysis
- gene expression data analysis
- microarray data analysis
- molecular biology
- gene selection
- gene expression data sets
- regulatory networks
- experimental conditions
- gene networks
- cancer classification
- gene expression profiles
- gene expression patterns
- transcription factors
- gene ontology
- differentially expressed genes
- dna microarray
- high dimensionality
- gene regulation
- biological processes
- clustering analysis
- gene expression datasets
- expression patterns
- microarray technology
- data sets
- analysis of gene expression
- expression profiles
- binding sites
- microarray datasets
- systems biology
- biological networks
- tissue samples
- functional genomics
- differentially expressed
- colon cancer
- feature selection