Bayesian variable selection for gene expression modeling with regulatory motif binding sites in neuroinflammatory events.
Kuang-Yu LiuXiaobo ZhouKinhong KanStephen T. C. WongPublished in: Neuroinformatics (2006)
Keyphrases
- transcription factors
- binding sites
- variable selection
- gene expression
- regulatory elements
- microarray
- gene regulation
- dna binding
- high dimensional
- dna sequences
- regulatory networks
- motif discovery
- cross validation
- gene expression data
- sequence data
- biological processes
- transcription factor binding sites
- microarray data
- component analysis
- differentially expressed
- computational biology
- biological sequences
- model selection
- transcriptional regulation
- drosophila melanogaster
- saccharomyces cerevisiae
- cell cycle
- genomic data
- genome wide
- gene expression patterns
- statistical significance
- gene expression profiles
- biological networks
- protein interaction
- systems biology
- data analysis
- feature selection
- data sets
- gene selection
- bayesian inference
- data acquisition
- high dimensional data
- co occurrence
- differentially expressed genes
- cis regulatory
- text mining
- machine learning