cTAP: A Machine Learning Framework for Predicting Target Genes of a Transcription Factor using a Cohort of Gene Expression Data Sets.
Honglin WangPujan JoshiSeung-Hyun HongPeter F. MayeDavid W. RoweDong-Guk ShinPublished in: BIBM (2020)
Keyphrases
- gene expression data sets
- gene expression
- microarray
- transcription factors
- gene expression data
- microarray data
- binding sites
- gene regulation
- gene expression patterns
- regulatory networks
- high throughput
- gene expression data analysis
- biological processes
- dna binding
- gene selection
- feature selection
- experimental conditions
- gene expression analysis
- microarray data analysis
- gene expression profiles
- gene sets
- cell cycle
- gene ontology
- cancer classification
- microarray datasets
- genomic data
- molecular biology
- high dimensionality
- dna microarray
- expression profiles
- motif discovery
- transcription factor binding sites
- genome wide
- systems biology
- biological data
- gene networks
- data analysis