A Gaussian graphical model for identifying significantly responsive regulatory networks from time series gene expression data.
Zhi-Ping LiuWanwei ZhangKatsuhisa HorimotoLuonan ChenPublished in: ISB (2012)
Keyphrases
- graphical models
- regulatory networks
- gene expression data
- belief propagation
- probabilistic model
- gene expression
- gene regulatory networks
- microarray
- structure learning
- random variables
- probabilistic inference
- approximate inference
- microarray data
- bayesian networks
- markov networks
- conditional random fields
- belief networks
- conditional independence
- high dimensional
- message passing
- maximum likelihood
- feature selection
- high throughput
- biological systems
- high dimensionality
- network model
- higher order