plotRI
(Package: iCluster) :
A function to generate reproducibility index plot.
A function to generate reproducibility index plot.
● Data Source:
CranContrib
● Keywords: models
● Alias: plotRI
●
0 images
|
|
Model tuning process for choosing the number of clusters k and the lasso penalty parameters.
● Data Source:
CranContrib
● Keywords: Data integration, subtype discovery, latent variable model
● Alias: tune.iCluster2
●
0 images
|
plotHeatmap
(Package: iCluster) :
A function to generate heatmap panels sorted by integrated cluster assignment.
A function to generate heatmap panels sorted by integrated cluster assignment.
● Data Source:
CranContrib
● Keywords: models
● Alias: plotHeatmap
●
0 images
|
iCluster2
(Package: iCluster) :
A variant of the iCluster method with variance weighted shrinkage
iCluster function with variance-weighted shrinkage (see Shen et al. PLoS ONE, 2012)
● Data Source:
CranContrib
● Keywords: Data integration, subtype discovery, latent variable model
● Alias: iCluster2
●
0 images
|
compute.pod
(Package: iCluster) :
A function to compute the proportion of deviation from perfect block diagonal matrix
A function to compute the proportion of deviation from perfect block diagonal matrix.
● Data Source:
CranContrib
● Keywords: models
● Alias: compute.pod
●
0 images
|
iCluster
(Package: iCluster) :
Integrative clustering of multiple genomic data types
Given multiple genomic data types (e.g., copy number, gene expression, DNA methylation) measured in the same set of samples, iCluster fits a regularized latent variable model based clustering that generates an integrated cluster assigment based on joint inference across data types
● Data Source:
CranContrib
● Keywords: models
● Alias: iCluster
●
0 images
|
plotiCluster
(Package: iCluster) :
A function to generate cluster separability matrix plot.
A function to generate cluster separability matrix plot.
● Data Source:
CranContrib
● Keywords: models
● Alias: plotiCluster
●
0 images
|
providing 
.