Mathematical models have been widely used for analysis of experimental data in immunology, which can describe the interactions among cells or antigens. Many mathematical modeling studies have provided novel insights into immune systems. These researches adopt a generalized mathematical model based on population dynamics, which is frequently used in ecology or demography. By discussing several studies of cell differentiation, lymphocyte turnover and virus dynamics, we demonstrate the applicability of the generalized mathematical model to immunology data analysis.
|Title of host publication||Encyclopedia of Bioinformatics and Computational Biology|
|Subtitle of host publication||ABC of Bioinformatics|
|Number of pages||9|
|Publication status||Published - Jan 1 2018|
All Science Journal Classification (ASJC) codes