A strategy for identifying putative causes of gene expression variation in human cancers.
Sampsa HautaniemiMarkus RingnérPäivikki KauraniemiReija AutioHenrik EdgrenOlli Yli-HarjaJaakko AstolaAnne KallioniemiOlli-Pekka KallioniemiPublished in: J. Frankl. Inst. (2004)
Keyphrases
- gene expression
- gene expression profiles
- gene expression data
- microarray
- differentially expressed genes
- microarray datasets
- gene selection
- microarray data
- gene expression data analysis
- biological processes
- gene regulation
- protein interaction
- gene expression patterns
- cancer diagnosis
- biological networks
- regulatory networks
- gene expression analysis
- cancer classification
- analysis of gene expression
- gene expression data sets
- binding sites
- dna microarray
- functional genomics
- drosophila melanogaster
- ovarian cancer
- high throughput
- genomic data
- experimental conditions
- high dimensionality
- gene interactions
- gene networks
- clustering analysis
- colon cancer
- high dimensional