A Bayesian framework for integrating genomic data to aid function prediction.
Chris BridsonRichard J. MorrisPublished in: BMC Syst. Biol. (2007)
Keyphrases
- bayesian framework
- genomic data
- prior knowledge
- generative model
- high throughput
- gaussian process
- biological data
- maximum a posteriori
- expectation maximization
- gene expression data
- pairwise
- protein protein interactions
- experimental conditions
- image segmentation
- data sets
- gene expression
- gene ontology
- statistical analysis
- maximum likelihood
- markov random field
- motion estimation
- feature space
- learning algorithm
- machine learning