Network clustering: probing biological heterogeneity by sparse graphical models.
Sach MukherjeeSteven M. HillPublished in: Bioinform. (2011)
Keyphrases
- graphical models
- gaussian graphical models
- belief propagation
- probabilistic model
- random variables
- probabilistic inference
- approximate inference
- probabilistic graphical models
- clustering algorithm
- conditional random fields
- markov networks
- bayesian networks
- map inference
- k means
- conditional independence
- complex networks
- belief networks
- factor graphs
- statistical inference
- network structure
- directed acyclic
- structure learning
- graph structure
- exact inference
- loopy belief propagation
- statistical relational learning
- collective classification
- high dimensional data
- biological data
- high dimensional
- network model
- message passing
- social networks