ABSTRACT
In this chapter, we provide an overview of modeling techniques that are commonly used to study the immune system on a systems level. For a given biological question, one must decide which methods are most appropriate in order to gain mechanistic insight. We also highlight assumptions and approximations that underlie the various modeling approaches, which can help guide decisions about which methods to use. Throughout, we use T cells as an example by which to explore various modeling techniques, relevant scales, and underlying approximations and assumptions.
