Quantitative immunology by data analysis using mathematical models

Shoya Iwanami; Shingo Iwami

doi:10.1016/B978-0-12-809633-8.20250-1

Quantitative immunology by data analysis using mathematical models

Shoya Iwanami, Shingo Iwami

dynamic biology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

2 Citations (Scopus)

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 language	English
Title of host publication	Encyclopedia of Bioinformatics and Computational Biology
Subtitle of host publication	ABC of Bioinformatics
Publisher	Elsevier
Pages	984-992
Number of pages	9
Volume	1-3
ISBN (Electronic)	9780128114322
ISBN (Print)	9780128114148
DOIs	https://doi.org/10.1016/B978-0-12-809633-8.20250-1
Publication status	Published - Jan 1 2018

All Science Journal Classification (ASJC) codes

Medicine(all)

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10.1016/B978-0-12-809633-8.20250-1

Cite this

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ER -

Quantitative immunology by data analysis using mathematical models

Abstract

All Science Journal Classification (ASJC) codes

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