HAMSTER: Visualizing microarray experiments as a set of minimum spanning trees

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Abstract

Visualization tools allow researchers to obtain a global view of the interrelationships between the probes or experiments of a gene expression (e.g. microarray) data set. Some existing methods include hierarchical clustering and k-means. In recent years, others have proposed applying minimum spanning trees (MST) for microarray clustering. Although MST-based clustering is formally equivalent to the dendrograms produced by hierarchical clustering under certain conditions; visually they can be quite different.

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Wan, R., Kiseleva, L., Harada, H., Mamitsuka, H., & Horton, P. (2009). HAMSTER: Visualizing microarray experiments as a set of minimum spanning trees. Source Code for Biology and Medicine, 4. https://doi.org/10.1186/1751-0473-4-8

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