plot.tight.clust: Plot tight cluster result

In tightClust: Tight Clustering

Description

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

Usage

## 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 <[e-mail]>

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.

tightClust documentation built on May 1, 2019, 7:49 p.m.