S. Breit

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MOTIVATION Unsupervised clustering of microarray data may detect potentially important, but not obvious characteristics of samples, for instance subgroups of diagnoses with distinct gene profiles or systematic errors in experimentation. RESULTS Multidimensional clustering (mdclust) is a method, which identifies sets of sample clusters and associated(More)
MOTIVATION To identify genes suitable for medical diagnostics microarray data is assessed in the context of clinical databases, which store complex information about the patient phenotype. The wealth of data and lacking standards make it difficult to analyse this kind of data. RESULTS We present a workflow for exploratory analysis of microarray data(More)
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