Inferring gene regulatory networks from perturbed gene expression data using a dynamic Bayesian network with a Markov Chain Monte Carlo algorithm.
Swee Thing LowMohd Saberi MohamadSigeru OmatuLian En ChaiSafaai DerisMichifumi YoshiokaPublished in: GrC (2014)
Keyphrases
- gene expression data
- gene regulatory networks
- markov chain monte carlo
- learning algorithm
- input data
- gene networks
- k means
- regulatory networks
- probabilistic model
- clustering gene expression data
- network model
- posterior probability
- microarray data
- gene expression
- microarray
- high dimensional data
- parameter estimation
- em algorithm
- high dimensionality
- energy function
- bayesian framework
- reverse engineering
- expectation maximization
- dynamic programming
- bayesian networks
- data sets