Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data.
Ricardo de Matos SimoesSabine DalleauKate E. WilliamsonFrank Emmert-StreibPublished in: BMC Syst. Biol. (2015)
Keyphrases
- gene expression data
- gene regulatory networks
- gene selection
- cancer diagnosis
- gene expression profiles
- cancer classification
- gene expression datasets
- dna microarray
- gene expression
- microarray
- gene expression data sets
- gene expression data analysis
- gene networks
- yeast cell cycle
- regulatory networks
- microarray data
- gene regulation
- tissue samples
- microarray gene expression data
- data sets
- feature selection
- gene expression analysis
- high dimensionality
- systems biology
- biological networks
- high dimensional
- microarray datasets
- saccharomyces cerevisiae
- gene expression patterns
- clustering gene expression data
- gene function
- biological information
- pattern recognition
- high throughput
- bayesian inference
- data analysis
- dynamic bayesian networks
- database
- genomic data