A probabilistic regulatory network for the human immune system

2007/08/17 by Maria A. Avino-Diaz, Avino-Diaz, Maria A.
Biochemistry, Genetics and Molecular Biology · Medicine · #Biomolecules (q-bio.BM) #Cell Behavior (q-bio.CB) #FOS: Biological sciences #Influenza Virus Research Studies #q-bio.BM #q-bio.CB

paper · pdf · doi:10.48550/arxiv.0708.2294

9 pages

arxiv created 2007/08/17 · openalex publication_date 2007/08/17 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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