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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3227

Title: Temporal Bayesian classifiers for modelling muscular dystrophy expression data
Authors: Tucker, A
Hoen, PAC't
Vinciotti, V
Liu, X
Publication Date: 2006
Publisher: IOS Press
Citation: Intelligent Data Analysis. 10(5): 441-455
Abstract: The analysis of microarray data from time-series experiments requires specialised algorithms, which take the temporal ordering of the data into account. In this paper we explore a new architecture of Bayesian classifier that can be used to understand how biological mechanisms differ with respect to time. We show that this classifier improves the classification of microarray data and at the same time ensures that the models can easily be analysed by biologists by incorporating time transparently. In this paper we focus on data that has been generated to explore different types of muscular dystrophy.
URI: http://bura.brunel.ac.uk/handle/2438/3227
ISSN: 1088-467X
Appears in Collections:Computer Science
Dept of Computer Science Research Papers

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