An approach to modelling in immunology

by: Andrew Yates, Cliburn C Chan, Robin E Callard, Andrew J George, Jaroslav Stark

Brief Bioinform, Vol. 2, No. 3. (1 January 2001), pp. 245-257.

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Abstract

Like most other fields in biology, immunology has been revolutionised by the techniques of molecular biology and the resulting explosion in available experimental data. It is argued that efforts to integrate the data to gain insight into how various subsystems in the immune system interact and function require mathematical modelling and computer simulation in close collaboration with experimentalists. This paper illustrates some of the techniques available for modelling immune systems, and highlights the issues that should be borne in mind by anyone starting down the modelling path. 10.1093/bib/2.3.245

@article{citeulike:2795598, abstract = {Like most other fields in biology, immunology has been revolutionised by the techniques of molecular biology and the resulting explosion in available experimental data. It is argued that efforts to integrate the data to gain insight into how various subsystems in the immune system interact and function require mathematical modelling and computer simulation in close collaboration with experimentalists. This paper illustrates some of the techniques available for modelling immune systems, and highlights the issues that should be borne in mind by anyone starting down the modelling path. 10.1093/bib/2.3.245}, author = {Yates, Andrew and Chan, Cliburn C. and Callard, Robin E. and George, Andrew J. and Stark, Jaroslav }, citeulike-article-id = {2795598}, doi = {10.1093/bib/2.3.245}, journal = {Brief Bioinform}, keywords = {immunology, modelling, review}, month = {January}, number = {3}, pages = {245--257}, posted-at = {2008-05-13 17:33:45}, priority = {0}, title = {An approach to modelling in immunology}, url = {http://dx.doi.org/10.1093/bib/2.3.245}, volume = {2}, year = {2001} }

RIS record

TY - JOUR ID - citeulike:2795598 L3 - citeulike-article-id:2795598 TI - An approach to modelling in immunology JF - Brief Bioinform VL - 2 IS - 3 SP - 245 EP - 257 N2 - Like most other fields in biology, immunology has been revolutionised by the techniques of molecular biology and the resulting explosion in available experimental data. It is argued that efforts to integrate the data to gain insight into how various subsystems in the immune system interact and function require mathematical modelling and computer simulation in close collaboration with experimentalists. This paper illustrates some of the techniques available for modelling immune systems, and highlights the issues that should be borne in mind by anyone starting down the modelling path. 10.1093/bib/2.3.245 KW - immunology KW - modelling KW - review AU - Yates, Andrew AU - Chan, Cliburn AU - Callard, Robin AU - George, Andrew AU - Stark, Jaroslav PY - 2001/01/01/ UR - http://dx.doi.org/10.1093/bib/2.3.245 ER -

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