- Computing and Information Systems - Research Publications
Computing and Information Systems - Research Publications
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ItemA voting approach to identify a small number of highly predictive genes using multiple classifiersHassan, MR ; Hossain, MM ; Bailey, J ; Macintyre, G ; Ho, JWK ; Ramamohanarao, K (BMC, 2009-01-30)BACKGROUND: Microarray gene expression profiling has provided extensive datasets that can describe characteristics of cancer patients. An important challenge for this type of data is the discovery of gene sets which can be used as the basis of developing a clinical predictor for cancer. It is desirable that such gene sets be compact, give accurate predictions across many classifiers, be biologically relevant and have good biological process coverage. RESULTS: By using a new type of multiple classifier voting approach, we have identified gene sets that can predict breast cancer prognosis accurately, for a range of classification algorithms. Unlike a wrapper approach, our method is not specialised towards a single classification technique. Experimental analysis demonstrates higher prediction accuracies for our sets of genes compared to previous work in the area. Moreover, our sets of genes are generally more compact than those previously proposed. Taking a biological viewpoint, from the literature, most of the genes in our sets are known to be strongly related to cancer. CONCLUSION: We show that it is possible to obtain superior classification accuracy with our approach and obtain a compact gene set that is also biologically relevant and has good coverage of different biological processes.
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ItemXSLTGen: A system for automatically generating XML transformations via semantic mappingsWaworuntu, S ; Bailey, J ; Spaccapietra, S ; Atzeni, P ; Chu, WW ; Catarci, T ; Sycara, KP (SPRINGER-VERLAG BERLIN, 2006)
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ItemBuilding more robust multi-agent systems using a log-based approachUnruh, A ; Bailey, J ; Ramamohanarao, K (IOS Press, 2009-03-23)
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ItemDiscovering correlated spatio-temporal changes in evolving graphsChan, J ; Bailey, J ; Leckie, C (SPRINGER LONDON LTD, 2008-07)
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ItemMining minimal distinguishing subsequence patterns with gap constraintsJi, X ; Bailey, J ; Dong, G (SPRINGER LONDON LTD, 2007-04)
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ItemUsing graph partitioning to discover regions of correlated spatio-temporal change in evolving graphsChan, J ; Bailey, J ; Leckie, C (IOS PRESS, 2009)