Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes.
Patrick WarnatRoland EilsBenedikt BrorsPublished in: BMC Bioinform. (2005)
Keyphrases
- microarray data
- gene expression
- microarray
- microarray technology
- gene selection
- gene expression profiles
- colon cancer
- dna microarray
- cancer classification
- gene expression data
- relevant genes
- meta analysis
- gene expression data sets
- microarray data analysis
- microarray datasets
- informative genes
- analysis of gene expression
- cancer diagnosis
- feature selection
- gene expression microarray data
- biological processes
- gene expression analysis
- differentially expressed genes
- gene expression patterns
- gene expression data analysis
- cluster analysis
- selected genes
- gene expression datasets
- ovarian cancer
- high dimensionality
- data sets
- high dimensional
- molecular biology
- gene networks
- gene sets
- differentially expressed
- gene clusters
- high throughput
- experimental conditions
- tissue samples
- biological data
- feature ranking
- clustering algorithm
- saccharomyces cerevisiae
- regulatory networks
- machine learning
- genomic data