plot.tight.clust: Plot tight cluster result

Description

A function to plot the heatmap of the tight cluster result.

Usage

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## S3 method for class 'tight.clust'
plot(x, standardize.gene = TRUE, order.sample = FALSE, plot.noise=TRUE, ...)

Arguments

x

Return value of the tight.clust function

standardize.gene

If standardize each gene vector to mean 0 and sd 1.

order.sample

It specifies whether to order samples (features) using the hierachical clustering method.

plot.noise

It specifies whether to plot the remaining noise genes (objects).

...

Arguments to image.

Author(s)

Chi Song <chs108@pitt.edu>

References

George C. Tseng and Wing H. Wong. (2005) Tight Clustering: A Resampling-based Approach for Identifying Stable and Tight Patterns in Data. Biometrics.61:10-16.


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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