Pan-cancer identification of the relationship of metabolism-related differentially expressed transcription regulation with non-differentially expressed target genes via a gated recurrent unit network.
Meiyu DuanYueying WangYa QiaoYangyang WangXingyuan PanZhuyu HuYanyue RanXian FuYusi FanLan HuangFengfeng ZhouPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- differentially expressed
- gene expression
- microarray data
- gene selection
- differentially expressed genes
- microarray
- ovarian cancer
- gene expression profiles
- expression profiles
- gene expression data
- gene networks
- early detection
- transcription factors
- cancer classification
- high throughput
- candidate genes
- microarray data analysis
- cancer diagnosis
- network structure
- binding sites
- mass spectrometry
- feature selection
- biological processes
- systems biology
- biological networks
- data sets
- link prediction
- microarray datasets
- protein interaction
- biologically meaningful
- cancer detection
- related genes
- meta analysis
- cluster analysis
- regulatory networks
- gene ontology
- gene regulation
- transcription factor binding sites
- mass spectra
- community structure