A probabilistic regulatory network for the human immune system
Cell Behavior
2007-08-20 v1 Biomolecules
Abstract
In this paper we made a review of some papers about probabilistic regulatory networks (PRN), in particular we introduce our concept of homomorphisms of PRN with an example of projection of a regulatory network to a smaller one. We apply the model PRN (or Probabilistic Boolean Network) to the immune system, the PRN works with two functions. The model called ""The B/T-cells interaction"" is Boolean, so we are really working with a Probabilistic Boolean Network. Using Markov Chains we determine the state of equilibrium of the immune response.
Cite
@article{arxiv.0708.2294,
title = {A probabilistic regulatory network for the human immune system},
author = {Maria A. Avino-Diaz},
journal= {arXiv preprint arXiv:0708.2294},
year = {2007}
}
Comments
9 pages