expSetProcess: Internal function to extract the data from an expressionSet...
In clusterCons: Consensus Clustering using Multiple Algorithms and Parameters
expSetProcess R Documentation
Internal function to extract the data from an expressionSet class object from the affy package for use with cluscomp
Description
This is a convenience function that is used internally to allow the user to pass an expressionSet object from the microarray processing package 'affy'
directly to the cluscomp function.
Usage
expSetProcess(x)
Arguments
x
An object of class expressionSet from the Bioconductor package 'affy'.
Value
when called directly, returns a suitably labeled data.frame() object of the expressionSet expression values.
Author(s)
Dr. T. Ian Simpson
ian.simpson@ed.ac.uk
References
Merged consensus clustering to assess and improve class discovery with microarray data. Simpson TI, Armstrong JD and Jarman AP. BMC Bioinformatics 2010, 11:590.
clusterCons documentation built on March 18, 2022, 5:16 p.m.
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| expSetProcess | R Documentation |
Internal function to extract the data from an expressionSet class object from the affy package for use with cluscomp
Description
This is a convenience function that is used internally to allow the user to pass an expressionSet object from the microarray processing package 'affy'
directly to the cluscomp function.
Usage
expSetProcess(x)
Arguments
x |
An object of class expressionSet from the Bioconductor package 'affy'. |
Value
when called directly, returns a suitably labeled data.frame() object of the expressionSet expression values.
Author(s)
Dr. T. Ian Simpson ian.simpson@ed.ac.uk
References
Merged consensus clustering to assess and improve class discovery with microarray data. Simpson TI, Armstrong JD and Jarman AP. BMC Bioinformatics 2010, 11:590.
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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