Modelling Gene Regulatory Networks Using Galerkin Techniques Based on State Space Aggregation and Sparse Grids.
Markus HeglandConrad J. BurdenLucia SantosoPublished in: HPSC (2006)
Keyphrases
- gene regulatory networks
- state space
- reverse engineering
- network model
- gene regulatory
- gene expression data
- gene networks
- regulatory networks
- biological data
- boolean networks
- differential equations
- reinforcement learning
- dynamic programming
- dynamic bayesian networks
- high dimensional
- dynamical systems
- bayesian inference
- state variables
- particle filter
- structure learning
- partial differential equations
- gene expression
- statistical analysis
- microarray data
- microarray
- data warehouse
- search space
- feature selection