We use a hierarchical Bayesian model to address some scientific questions at stake in understanding the organism reactions of allergic patients exposed to a new oral desensitization treatment. Experimental data consists of proteomic microarray measurements where the main statistical issue is to adapt a conveniently flexible model which accounts for interior spot dependence.

Identifying epitopes in allergic reactions through hierarchical Bayesian modelling / Arima, Serena; V., Pecora; Tardella, Luca. - STAMPA. - (2009), pp. 413-416.

Identifying epitopes in allergic reactions through hierarchical Bayesian modelling

ARIMA, SERENA;TARDELLA, Luca
2009

Abstract

We use a hierarchical Bayesian model to address some scientific questions at stake in understanding the organism reactions of allergic patients exposed to a new oral desensitization treatment. Experimental data consists of proteomic microarray measurements where the main statistical issue is to adapt a conveniently flexible model which accounts for interior spot dependence.
2009
Book of Short Papers, 7° Meeting of the Classification and Data Analysis Group of the Italian Statistical Society
9788861294066
02 Pubblicazione su volume::02a Capitolo o Articolo
Identifying epitopes in allergic reactions through hierarchical Bayesian modelling / Arima, Serena; V., Pecora; Tardella, Luca. - STAMPA. - (2009), pp. 413-416.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/435131
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