sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters.
Shailesh TripathiJason Lloyd-PriceAndre S. RibeiroOlli Yli-HarjaMatthias DehmerFrank Emmert-StreibPublished in: BMC Bioinform. (2017)
Keyphrases
- gene expression data
- network structure
- gene expression
- microarray
- gene regulatory networks
- network topology
- microarray data
- complex networks
- gene expression analysis
- social networks
- gene expression datasets
- network analysis
- data sets
- gene selection
- dna microarray data
- dna microarray
- structure learning
- link prediction
- cancer classification
- gene expression profiles
- regulatory networks
- high dimensionality
- biologically significant
- feature selection
- gene expression data analysis
- gene expression data sets
- microarray gene expression data
- gene networks
- analysis of gene expression data
- gene expression patterns
- genomic data
- high dimensional
- gene regulation
- gene ontology terms
- yeast cell cycle
- microarray datasets
- gene ontology
- high dimensional data
- high throughput
- cancer diagnosis
- data analysis
- network model
- text mining