R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
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Results 1 - 10 of 17 found.
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ppa.iterate (Package: isa2) : The Ping-Pong Algorithm

Perform PPA on two (normalized) input matrices.

● Data Source: CranContrib
● Keywords: cluster
● Alias: ppa.iterate, ppa.iterate,list-method
● 0 images

isa.biclust (Package: isa2) : Convert ISA modules to a Biclust class, as defined by the

This function converts the object with ISA modules to a Biclust object, so all the functions in the biclust package can be used on it.

● Data Source: CranContrib
● Keywords:
● Alias: isa.biclust
● 0 images

ppa (Package: isa2) : The Ping-Pong Algorithm

Run the PPA with the default parameters

● Data Source: CranContrib
● Keywords: cluster
● Alias: ppa, ppa,list-method
● 0 images

plotModules (Package: isa2) : Image plots of biclusters

Make several image plots, one for each bicluster, and optionally one for the original data as well.

● Data Source: CranContrib
● Keywords: cluster
● Alias: images, plotModules, plotModules,list-method
● 0 images

isa.sweep (Package: isa2) : Create a hierarchical structure of ISA biclusters

Relate the biclusters found in many ISA runs on the same input data.

● Data Source: CranContrib
● Keywords: cluster
● Alias: isa.sweep, isa.sweep,matrix-method, sweep.graph, sweep.graph,list-method
● 0 images

ppa.normalize (Package: isa2) : Normalize input data for use with the PPA

Normalize the two input matrices and store them in a form that can be used effectively to perform the Ping-Pong Algorithm

● Data Source: CranContrib
● Keywords: cluster
● Alias: ppa.normalize, ppa.normalize,list-method
● 0 images

isa.normalize (Package: isa2) : Normalize input data for use with ISA

Normalize a matrix and create a form that can be effectively used for ISA runs.

● Data Source: CranContrib
● Keywords: cluster
● Alias: isa.normalize, isa.normalize,matrix-method
● 0 images

isa (Package: isa2) : Iterative Signature Algorithm

Run ISA with the default parameters

● Data Source: CranContrib
● Keywords: cluster
● Alias: isa, isa,matrix-method
● 0 images

robustness (Package: isa2) : Robustness of ISA biclusters and PPA co-modules

Robustness of ISA biclusters and PPA co-modules. The more robust biclusters/co-modules are more significant in the sense that it is less likely to see them in random data.

● Data Source: CranContrib
● Keywords: cluster
● Alias: isa.filter.robust, isa.filter.robust,matrix-method, ppa.filter.robust, ppa.filter.robust,list-method, robustness, robustness,list-method
● 0 images

ppa.in.silico (Package: isa2) : Generate in-silico input data for testing the PPA algorithm

This function generates an artificial test data set for the PPA algorithm: two matrices, with common column dimension, containing co-modules of prescribed number, size, signal level, noise level and background noise.

● Data Source: CranContrib
● Keywords: cluster
● Alias: ppa.in.silico
● 0 images