Gene Regulatory Network Inference Using Predictive Minimum Description Length Principle and Conditional Mutual Information.
Vijender ChaitankarChaoyang ZhangPreetam GhoshEdward J. PerkinsPing GongYouping DengPublished in: IJCBS (2009)
Keyphrases
- minimum description length principle
- conditional mutual information
- gene regulatory networks
- undirected graphical models
- dynamic bayesian networks
- mutual information
- bayesian inference
- graphical models
- reverse engineering
- gene expression data
- gene networks
- conditional random fields
- bayesian networks
- exact inference
- network model
- structure learning
- factor graphs
- biological data
- approximate inference
- metropolis hastings algorithm
- probabilistic inference
- markov random field
- image registration
- partition function
- probabilistic model
- selection criterion
- pattern recognition
- particle filtering
- state variables
- message passing
- high throughput
- microarray
- software engineering
- decision trees
- image processing