Gene Regulatory Network Inference from Perturbed Time-Series Expression Data via Ordered Dynamical Expansion of Non-Steady State Actors.
Mahdi ZamanighomiMostafa ZamanianMichael KimberZhengdao WangPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2018)
Keyphrases
- steady state
- gene regulatory networks
- genetic regulatory networks
- undirected graphical models
- dynamic bayesian networks
- bayesian inference
- markov chain
- reverse engineering
- gene expression data
- network model
- product form
- bayesian networks
- structure learning
- metropolis hastings algorithm
- queue length
- graphical models
- arrival rate
- conditional random fields
- steady states
- biological data
- exact inference
- posterior distribution
- probabilistic model
- queueing networks
- heavy traffic
- markov random field
- neural network
- social networks
- software engineering
- probabilistic inference
- random walk
- random variables
- microarray data