Titlebook: Methods of Microarray Data Analysis II; Papers from CAMDA ’0 Simon M. Lin,Kimberly F. Johnson Book 2002 Springer Science+Business Media New

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Supervised Neural Networks for Clustering Conditions in DNA Array Data After Reducing Noise by Clususing DNA microarrays. In particular we are interested in the classification of samples or conditions. We have found that if gene expression profiles are clustered at the optimal level, the classification of conditions obtained using the average gene expression profile of each cluster is better than

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Bayesian Decomposition Analysis of Gene Expression in Yeast Deletion Mutants,ignore the underlying biology that gives rise to the data. Biological systems, such as cells, are complex, with constant activation and deactivation of multiple pathways in response to external and internal stimuli. Thus, of particular concern is the failure of many analysis methods to allow express

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