Cluster stability scores for microarray data in cancer studies |
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Authors: | Mark?Smolkin Email author" target="_blank">Debashis?GhoshEmail author |
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Institution: | (1) Department of Health Evaluation Sciences, University of Virginia Medical Center, Charlottesville, Virginia, USA;(2) Department of Biostatistics, University of Michigan Ann Arbor, Michigan, USA |
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Abstract: | Background A potential benefit of profiling of tissue samples using microarrays is the generation of molecular fingerprints that will
define subtypes of disease. Hierarchical clustering has been the primary analytical tool used to define disease subtypes from
microarray experiments in cancer settings. Assessing cluster reliability poses a major complication in analyzing output from
clustering procedures. While most work has focused on estimating the number of clusters in a dataset, the question of stability
of individual-level clusters has not been addressed. |
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Keywords: | |
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