Inferring Drosophila gap gene regulatory network: a parameter sensitivity and perturbation analysis.

ABSTRACT:

Background

Inverse modelling of gene regulatory networks (GRNs) capable of simulating continuous spatio-temporal biological processes requires accurate data and a good description of the system. If quantitative relations between genes cannot be extracted from direct measurements, an efficient method to estimate the unknown parameters is mandatory. A model that has been proposed to simulate spatio-temporal gene expression patterns is the connectionist model. This method describes the quantitative dynamics of a regulatory network in space. The model parameters are estimated by means of model-fitting algorithms. The gene interactions are identified without making any prior assumptions concerning the network connectivity. As a result, the inverse modelling might lead to multiple circui

SUBMITTER: Fomekong-Nanfack Y 

PROVIDER: S-EPMC2761871 | biostudies-literature | 2009 Sep

REPOSITORIES: biostudies-literature