A higher-order background model improves the detection of promoter regulatory elements by Gibbs sampling.
Gert ThijsMagali LescotKathleen MarchalStephane RombautsBart De MoorPierre RouzéYves MoreauPublished in: Bioinform. (2001)
Keyphrases
- gibbs sampling
- higher order
- background model
- background subtraction
- regulatory elements
- object detection
- binding sites
- transcription factor binding sites
- moving objects
- parameter estimation
- approximate inference
- expectation maximization
- gene expression
- em algorithm
- gaussian mixture model
- markov random field
- detection algorithm
- multi view
- dna sequences
- foreground objects
- sequence data
- topic models
- pairwise
- information retrieval
- transcription factors
- data analysis
- feature extraction