plotiCluster: A function to generate cluster separability matrix plot.
In iClusterPlus: Integrative clustering of multi-type genomic data
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
A function to generate cluster separability matrix plot.
Usage
1
plotiCluster(fit,label=NULL)
Arguments
fit
A iCluster object
label
Sample labels
Value
no value returned.
Author(s)
Ronglai Shen shenr@mskcc.org
References
Ronglai Shen, Adam Olshen, Marc Ladanyi. (2009). Integrative
clustering of multiple genomic data types using a joint latent
variable model with application to breast and lung cancer subtype
analysis. Bioinformatics 25, 2906-2912.
See Also
Examples
1
2
3
4
5
# library(iCluster)
# data(breast.chr17)
# fit=iCluster(datasets=breast.chr17, k=4, lambda=c(0.2,0.2))
# plotiCluster(fit=fit, label=rownames(breast.chr17[[2]]))
# compute.pod(fit)
Example output
Loading required package: parallel
iClusterPlus documentation built on Nov. 8, 2020, 8:01 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
A function to generate cluster separability matrix plot.
Usage
1 | plotiCluster(fit,label=NULL)
|
Arguments
fit |
A iCluster object |
label |
Sample labels |
Value
no value returned.
Author(s)
Ronglai Shen shenr@mskcc.org
References
Ronglai Shen, Adam Olshen, Marc Ladanyi. (2009). Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis. Bioinformatics 25, 2906-2912.
See Also
Examples
1 2 3 4 5 | # library(iCluster)
# data(breast.chr17)
# fit=iCluster(datasets=breast.chr17, k=4, lambda=c(0.2,0.2))
# plotiCluster(fit=fit, label=rownames(breast.chr17[[2]]))
# compute.pod(fit)
|
Example output
Loading required package: parallel
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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