Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms and Grouping Problems
Genetic Algorithms and Grouping Problems
Uniform Crossover in Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Practical Statistics for Medical Research
Practical Statistics for Medical Research
Variable grouping in multivariate time series via correlation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Predicting glaucomatous visual field deterioration through short multivariate time series modelling
Artificial Intelligence in Medicine
Evolutionary algorithms for grouping high dimensional Email data
Intelligent Data Analysis
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Short, high-dimensional Multivariate Time Series (MTS) data are common in many fields such as medicine, finance and science, and any advance in modelling this kind of data would be beneficial. Nowhere is this more true than functional genomics where effective ways of analysing gene expression data are urgently needed. Progress in this area could help obtain a "global" view of biological processes, and ultimately lead to a great improvement in the quality of human life. We present a computational framework for modelling this type of data, and report preliminary experimental results of applying this framework to the analysis of gene expression data in the virology domain. The framework contains a threestep modelling strategy: correlation search, variable grouping, and short MTS modelling. Novel research is involved in each step which has been individually tested on different real-world datasets in engineering and medicine. This is the first attempt to integrate all these components into a coherent computational framework, and test the framework on a very challenging application area, which has produced promising results.