Tandem machine learning for the identification of genes regulated by transcription factors.
Deendayal DinakarpandianVenetia RahejaSaumil MehtaErin G. SchuetzPeter K. RoganPublished in: BMC Bioinform. (2005)
Keyphrases
- transcription factors
- gene expression
- machine learning
- transcriptional regulatory
- dna binding
- computational biology
- regulatory networks
- binding sites
- microarray
- transcription factor binding sites
- differentially expressed
- differentially expressed genes
- gene regulation
- biological processes
- saccharomyces cerevisiae
- microarray data
- gene expression data
- gene regulatory
- dna sequences
- cell cycle
- regulatory elements
- systems biology
- genome wide
- gene sets
- component analysis
- biomedical literature
- sequence data
- machine learning methods
- text mining
- cis regulatory
- differential expression
- genome sequences
- signaling pathways
- data mining
- gene expression profiles
- feature selection
- gene selection
- high throughput
- information extraction
- co occurrence
- microarray datasets
- experimental conditions
- gene regulatory networks
- protein sequences
- biological networks
- statistical significance
- highly correlated
- high dimensionality