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This page provides instructions on how to view the data using FuzzyExplorer. You can also get help using the FuzzyK clustering program Here

The gene expression data are shown in a colorized format, in which each row represents the relative transcript abundance of a given gene and each column indicates the relative transcript abundance of many genes as measured on one microarray. A red color indicates that the gene was induced in response to the conditions indicated, green indicates that the gene was repressed under those conditions, black indicates that there was no detectible change in expression, and gray represents missing data.

Fuzzy k-means clustering of gene expression data identifies a list of cluster centroids, each of which represents a group of similarly expressed genes; in addition, the method relates all of the genes in the dataset to each centroid with a membership score.

The fuzzy k-means clustering results can be viewed with FuzzyExplorer, a visualization tool based on the program GeneExplorer developed by Christian Rees.

  • The left panel of the viewer shows a zoomed-out, or thumbnail, image of the gene expression patterns of each of the identified centroid patterns.
  • Each centroid can be viewed in the Zoom panel to the right by clicking on the centroid in the thumbnail panel on the left. The selected cetroid will be displayed, along with the top 10 genes with the highest membership to that centroid.
  • The gene clusters can be expanded and collapsed by entering a new membership cutoff for the desired cluster in the Toolbar window above.
  • A given gene or key word can also be searched using the search feature in the toolbar.
  • To view the top centroids to which the selected gene belongs, click on the gene's expression bar in the Zoom panel - a list of the top centroids will be displayed, in descending order of the gene's membership to each centroid.