Modelling Gene Regulatory Networks Using Galerkin Techniques Based on State Space Aggregation and Sparse Grids.

Markus Hegland Conrad J. Burden Lucia Santoso

Published 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