Abstract:
:Numerous aspects of the immune system operate on the basis of complex regulatory networks that are amenable to mathematical and computational modeling. Several modeling frameworks have recently been applied to simulating the immune system, including systems of ordinary differential equations, delay differential equations, partial differential equations, agent-based models, and stochastic differential equations. In this chapter, we summarize several recent examples of work that has been done in immune modeling and discuss two specific examples of models based on DDEs that can be used to understand the dynamics of T cell regulation.
journal_name
Methods Enzymoljournal_title
Methods in enzymologyauthors
Kim PS,Levy D,Lee PPdoi
10.1016/S0076-6879(09)67004-Xsubject
Has Abstractpub_date
2009-01-01 00:00:00pages
79-109eissn
0076-6879issn
1557-7988pii
S0076-6879(09)67004-Xjournal_volume
467pub_type
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