Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types.
Noor B. DawanyAydin TözerenPublished in: BMC Bioinform. (2010)
Keyphrases
- microarray data
- gene selection
- relevant genes
- microarray
- gene expression
- cancer classification
- gene expression profiles
- dna microarray
- biologically significant
- gene expression data
- microarray technology
- meta analysis
- informative genes
- dna microarray data
- gene expression data sets
- gene sets
- gene networks
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- cancer diagnosis
- microarray gene expression data
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- biologically meaningful
- microarray datasets
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- differentially expressed genes
- colon cancer
- data sets
- microarray analysis
- feature selection
- gene expression patterns
- high dimensional
- biological data
- cluster analysis
- saccharomyces cerevisiae
- gene expression datasets
- regulatory networks
- biologically relevant
- ovarian cancer
- biological processes
- analysis of gene expression
- gene ontology
- molecular biology
- microarray gene expression
- cancer datasets
- feature ranking
- gene expression analysis
- random forest
- gene regulatory networks