Advances to Bayesian network inference for generating causal networks from observational biological data.
Jing YuV. Anne SmithPaul P. WangAlexander J. HarteminkErich D. JarvisPublished in: Bioinform. (2004)
Keyphrases
- biological data
- causal networks
- bayesian network inference
- bayesian networks
- high throughput
- data analysis
- statistical methods
- microarray data
- knowledge discovery
- data sources
- conditional independence
- graphical models
- probability distribution
- data integration
- causal relations
- random variables
- probabilistic model
- structure learning
- approximate inference
- belief revision
- probabilistic inference
- machine learning
- bayesian methods
- conditional probabilities
- causal relationships
- data sets
- possibility theory
- belief propagation
- training data
- supervised learning