Integrating 5hmC and gene expression data to infer regulatory mechanisms.
Cristina MitreaPriyanga WijesingheGregory DysonAdéle KrugerDouglas M. RudenSorin DraghiciAliccia Bollig-FischerPublished in: Bioinform. (2018)
Keyphrases
- gene expression data
- gene regulation
- gene expression
- microarray
- microarray data
- feature selection
- data sets
- gene regulatory networks
- gene expression analysis
- analysis of gene expression data
- gene expression datasets
- gene networks
- gene expression data analysis
- high dimensional
- transcription factors
- microarray gene expression
- microarray gene expression data
- cancer diagnosis
- yeast cell cycle
- dna microarray
- gene expression profiling
- clustering gene expression data
- cancer classification
- gene selection
- regulatory networks
- gene expression data sets
- neural network
- high dimensionality
- dna microarray data
- gene expression patterns
- microarray datasets
- gene expression profiles
- biological information
- saccharomyces cerevisiae
- biological processes
- systems biology
- tissue samples
- computational models
- high throughput
- machine learning