Learning Sequence Determinants of Protein: Protein Interaction Specificity with Sparse Graphical Models.
Hetunandan KamisettyBornika GhoshChristopher James LangmeadChris Bailey-KelloggPublished in: RECOMB (2014)
Keyphrases
- graphical models
- probabilistic model
- belief propagation
- probabilistic inference
- undirected graphical models
- structural learning
- learning algorithm
- bayesian networks
- approximate inference
- supervised learning
- markov networks
- data mining
- conditional random fields
- structural properties
- protein protein interactions
- probabilistic graphical models