NDLI: Heat Map Visualizations Allow Comparison of Multiple Clustering Results and Evaluation of Dataset Quality: Application to Microarray Data

Content Provider	IEEE Xplore Digital Library
Author	Sharko, J. Grinstein, G.G. Marx, K.A. Jianping Zhou Chia-Ho Cheng Odelberg, S. Simon, H.-G.
Copyright Year	2007
Description	Author affiliation: Univ. of Massachusetts, Lowell (Sharko, J.; Grinstein, G.G.)
Abstract	Since clustering algorithms are heuristic, multiple clustering algorithms applied to the same dataset will typically not generate the same sets of clusters. This is especially true for complex datasets such as those from microarray time series experiments. Two such microarray datasets describing gene expression activities from regenerating newt forelimbs at various times following limb amputation were used in this study. A cluster stability matrix, which shows the number of times two genes appear in the same cluster, was generated as a heat map. This was used to evaluate the overall variation among the clustering algorithms and to identify similar clusters. A comparison of the cluster stability matrices for two related microarray experiments with different levels of precision was shown to be an effective basis for comparing the quality of the two sets of experiments. A pairwise heat map was generated to show which pairs of clustering algorithms grouped the data into similar clusters.
Starting Page	521
Ending Page	526
File Size	647617
Page Count	6
File Format	PDF
ISBN	0769529003
ISSN	15506037
DOI	10.1109/IV.2007.61
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-04
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data visualization Clustering algorithms Stability Heuristic algorithms Gene expression RNA Application software Cities and towns Pediatrics Algorithm design and analysis
Content Type	Text
Resource Type	Article

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