Identification of gene specific cis-regulatory elements during differentiation of mouse embryonic stem cells: An integrative approach using high-throughput datasets.
M. S. VijayabaskarDebbie K. GoodeNadine ObierMonika LichtingerAmber M. L. EmmettFatin N. Zainul AbidinNisar SharRebecca HannahSalam A. AssiMichael Lie-A.-LingBerthold GöttgensGeorges LacaudValerie KouskoffConstanze BoniferDavid R. WestheadPublished in: PLoS Comput. Biol. (2019)
Keyphrases
- high throughput
- microarray
- gene expression
- analysis of gene expression
- gene ontology
- mass spectrometry
- regulatory elements
- biological processes
- microarray datasets
- biological data
- living cells
- gene expression data
- experimental conditions
- genome wide
- gene expression levels
- gene expression profiles
- systems biology
- automated image analysis
- protein protein interactions
- transcription factors
- microarray data
- biological knowledge
- binding sites
- genomic data
- gene selection
- interaction networks
- high dimensionality
- biological networks
- regulatory networks
- cancer classification
- cancer diagnosis
- protein interaction
- gene regulation
- gene regulatory networks
- data acquisition
- cell cycle
- genome scale
- molecular biology
- gene sets
- human genome
- data sets