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- W14378219 abstract "Background: Adaptive immune responses are deterministically classified into humoral or cell-mediated depending on the pattern of Th cell polarization into Th1 or Th2. Evidence suggests that the process of Th po- larization is stochastic, however, the presence of some deterministic compo- nents has not been ruled out. Here, a Markov chain model that accounts for Th-mediated immune responses was developed based on the assumption that Th polarization and consequent transition events are stochastic. Results: Using assumed probability values, model analysis suggests that there is a rapid convergence to produce an immune response once the Th cell is stimu- lated by an antigen which is amplified as the number of transitions increase. The expected number of visits between Th and itself, B and itself and Tc and itself is about one whereas it is zero, less than one or ∞ in the rest of the transition events depending on the interacting states. Conclusions: Based on model analysis and validation, modeling Th-mediated immune responses as a Markov chain process seems to be plausible. The large degree of flexiblity" @default.
- W14378219 created "2016-06-24" @default.
- W14378219 creator A5037606814 @default.
- W14378219 creator A5070877765 @default.
- W14378219 date "2007-09-01" @default.
- W14378219 modified "2023-09-24" @default.
- W14378219 title "T helper cell polarization and the generation of varied antigen-dependent immune responses: a Markov chain model." @default.
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- W14378219 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18278740" @default.
- W14378219 hasPublicationYear "2007" @default.
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