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2008 Fourth IEEE International Conference on eScience
Immune System Modeling with Infer.NET
December 07-December 12
ISBN: 978-0-7695-3535-7
| ASCII Text | x | ||
| Vincent Y.F. Tan, John Winn, Angela Simpson, Adnan Custovic, "Immune System Modeling with Infer.NET," eScience, IEEE International Conference on, pp. 364-365, 2008 Fourth IEEE International Conference on eScience, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/eScience.2008.91, author = {Vincent Y.F. Tan and John Winn and Angela Simpson and Adnan Custovic}, title = {Immune System Modeling with Infer.NET}, journal ={eScience, IEEE International Conference on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3535-7}, pages = {364-365}, doi = {http://doi.ieeecomputersociety.org/10.1109/eScience.2008.91}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - eScience, IEEE International Conference on TI - Immune System Modeling with Infer.NET SN - 978-0-7695-3535-7 SP364 EP365 A1 - Vincent Y.F. Tan, A1 - John Winn, A1 - Angela Simpson, A1 - Adnan Custovic, PY - 2008 KW - Immune System KW - Graphical Modeling VL - 0 JA - eScience, IEEE International Conference on ER - | |||
Graphical models allow scientific prior knowledge to be incorporated into the statistical analysis of data, whilst also providing a vivid way to represent and communicate this knowledge. In this paper we develop a graphical model of the immune system as a means of analyzing immunological data from the Manchester Asthma and Allergy Study (MAAS). The analysis is achieved using the Infer.NET tool which allows Bayesian inference to be applied automatically to a specified graphical model.Our immune system model consists firstly of a Hidden Markov Model representing how allergen-specific skin prick tests (SPTs) and serum-specific IgE tests (SITs) change over time. By introducing a latent multinomial variable, we also cluster the children in an unsupervised manner into different sensitization classes. For 2 sensitization classes, the children who are vulnerable to allergies and have a high probability of having asthma (22%) are
Index Terms:
Immune System, Graphical Modeling
Citation:
Vincent Y.F. Tan, John Winn, Angela Simpson, Adnan Custovic, "Immune System Modeling with Infer.NET," escience, pp.364-365, 2008 Fourth IEEE International Conference on eScience, 2008
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