Quantitative immunology by data analysis using mathematical models

Shoya Iwanami, Shingo Iwami

研究成果: Chapter in Book/Report/Conference proceedingChapter

抜粋

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.

元の言語英語
ホスト出版物のタイトルEncyclopedia of Bioinformatics and Computational Biology
ホスト出版物のサブタイトルABC of Bioinformatics
出版者Elsevier
ページ984-992
ページ数9
1-3
ISBN(電子版)9780128114322
ISBN(印刷物)9780128114148
DOI
出版物ステータス出版済み - 1 1 2018

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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  • これを引用

    Iwanami, S., & Iwami, S. (2018). Quantitative immunology by data analysis using mathematical models. : Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics (巻 1-3, pp. 984-992). Elsevier. https://doi.org/10.1016/B978-0-12-809633-8.20250-1