Quantitative immunology by data analysis using mathematical models

Shoya Iwanami, Shingo Iwami

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationEncyclopedia of Bioinformatics and Computational Biology
Subtitle of host publicationABC of Bioinformatics
PublisherElsevier
Pages984-992
Number of pages9
Volume1-3
ISBN (Electronic)9780128114322
ISBN (Print)9780128114148
DOIs
Publication statusPublished - Jan 1 2018

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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