utility: Utility functions for iClusterPlus package

In iClusterPlus: Integrative clustering of multi-type genomic data

Description

Some utility functions for processing the results produced by iClusterPlus methods.

Usage

getBIC(resultList)
getDevR(resultList)
getClusters(resultList)
iManual(view=TRUE)

Arguments

resultList	A list object as shown in the following example.
view	A logical value TRUE or FALSE

Value

getBIC	produce a matrix containing the BIC value for each lambda and K; the rows correspond to the lambda (vector) and the columns correspond to the K latent variables.
getDevR	produce a matrix containing the deviance ratio for each lambda and K; the rows correspond to the lambda (vector) and the columns correspond to the K latent variables.
getClusters	produce a matrix containing the cluster assigments for the samples under each K; the rows correspond to the samples; the columns correspond to the K latent variables.
iManual	Open the iClusterPlus User's Guide.

Author(s)

Qianxing Mo [e-mail]

References

Qianxing Mo, Sijian Wang, Venkatraman E. Seshan, Adam B. Olshen, Nikolaus Schultz, Chris Sander, R. Scott Powers, Marc Ladanyi, and Ronglai Shen. (2012). Pattern discovery and cancer gene identification in integrated cancer genomic data. Proc. Natl. Acad. Sci. USA (invited revision).

See Also

tune.iClusterPlus, iClusterPlus, iCluster2

Examples

### see the users' guide iManual.pdf 

#data(simuResult)
#BIC = getBIC(simuResult)
#devR = getDevR(simuResult)
#clusters = getClusters(simuResult)

iClusterPlus documentation built on Nov. 8, 2020, 8:01 p.m.