summaryCrossICC: Summary the CrossICC-returned list to produce human-readable...
In bioinformatist/CrossICC: An Interactive Consensus Clustering Framework for Multi-platform Data Analysis
Description
Usage
Arguments
Value
Examples
Description
Summary the CrossICC-returned list to produce human-readable output
Usage
1
summaryCrossICC(result)
Arguments
result
list-type CrossICC's return value.
Value
list contains: a matrix of genesets mapping to genes; a named atomic vetor of samples mapping to super clusters.
Examples
1
2
3
data("demo.platforms")
CrossICC.object <- CrossICC(demo.platforms, skip.mfs = TRUE, max.iter = 1, overwrite = TRUE, output.dir = tempdir())
CrossICC.summary <- summaryCrossICC(CrossICC.object)
bioinformatist/CrossICC documentation built on Feb. 3, 2022, 8:58 a.m.
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Description Usage Arguments Value Examples
Description
Summary the CrossICC-returned list to produce human-readable output
Usage
1 | summaryCrossICC(result)
|
Arguments
result |
list-type CrossICC's return value. |
Value
list contains: a matrix of genesets mapping to genes; a named atomic vetor of samples mapping to super clusters.
Examples
1 2 3 | data("demo.platforms")
CrossICC.object <- CrossICC(demo.platforms, skip.mfs = TRUE, max.iter = 1, overwrite = TRUE, output.dir = tempdir())
CrossICC.summary <- summaryCrossICC(CrossICC.object)
|
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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