Usefulness and limitations of dK random graph models to predict interactions and functional homogeneity in biological networks under a pseudo-likelihood parameter estimation approach.
Wenhui WangJuan Nunez-IglesiasYihui LuanFengzhu SunPublished in: BMC Bioinform. (2009)
Keyphrases
- parameter estimation
- biological networks
- random fields
- maximum likelihood
- markov chain monte carlo
- complex networks
- gene expression
- markov random field
- least squares
- graph mining
- statistical models
- model selection
- em algorithm
- markov networks
- biological data
- pattern mining
- link prediction
- network analysis
- protein protein interactions
- probabilistic graphical models
- approximate inference
- posterior distribution
- expectation maximization
- community detection
- network structure
- image sequences
- data mining
- microarray
- gene regulatory networks