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arXiv · 0708.2294

A probabilistic regulatory network for the human immune system

Maria A. Avino-Diaz
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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.

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Maria A. Avino-Diaz. 2007-08-17. A probabilistic regulatory network for the human immune system. https://arxiv.org/abs/0708.2294

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