Computation of the Posterior Entropy in a Bayesian Framework for Parameter Estimation in Biological Networks.
Andrei KramerJan HasenauerFrank AllgöwerNicole RaddePublished in: CCA (2010)
Keyphrases
- parameter estimation
- bayesian framework
- biological networks
- expectation maximization
- posterior distribution
- em algorithm
- maximum likelihood
- maximum a posteriori
- markov random field
- generative model
- prior knowledge
- gaussian process
- posterior probability
- hyperparameters
- model selection
- least squares
- gene expression
- biological systems
- biological data
- complex networks
- statistical models
- approximate inference
- link prediction
- graph mining
- structure learning
- community detection
- protein protein interactions
- pattern mining
- probabilistic model
- markov chain monte carlo
- network analysis
- image segmentation
- microarray
- higher order
- probability density function
- social network analysis
- state space
- high dimensional