A graphical model for predicting protein molecular function.
Barbara E. EngelhardtMichael I. JordanSteven E. BrennerPublished in: ICML (2006)
Keyphrases
- graphical models
- predicting protein
- belief propagation
- probabilistic inference
- secondary structure
- probabilistic graphical models
- approximate inference
- random variables
- probabilistic model
- bayesian networks
- conditional random fields
- markov networks
- structure learning
- graph structure
- factor graphs
- conditional dependencies
- conditional independence
- protein function
- computational methods
- gene expression
- co occurrence