predictor: To calculate the correlation between the predictor centroid...
In bioinformatist/CrossICC: An Interactive Consensus Clustering Framework for Multi-platform Data Analysis
Description
Usage
Arguments
Value
Examples
Description
To calculate the correlation between the predictor centroid and the validation centroid.
Usage
1
predictor(pre.dat, model)
Arguments
pre.dat
a eSet object or eSet-like matrix with features in rows and samples in columns
model
a list containing CrossICC result
Value
a list contains a vecter that store the predict clusters and a normalized expression matrix
Examples
1
2
3
data("demo.platforms")
CrossICC.object <- CrossICC(demo.platforms, skip.mfs = TRUE, max.iter = 1, overwrite = TRUE, output.dir = tempdir())
predicted <- predictor(demo.platforms[[1]], CrossICC.object)
bioinformatist/CrossICC documentation built on Feb. 3, 2022, 8:58 a.m.
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Description Usage Arguments Value Examples
Description
To calculate the correlation between the predictor centroid and the validation centroid.
Usage
1 | predictor(pre.dat, model)
|
Arguments
pre.dat |
a eSet object or eSet-like matrix with features in rows and samples in columns |
model |
a list containing CrossICC result |
Value
a list contains a vecter that store the predict clusters and a normalized expression matrix
Examples
1 2 3 | data("demo.platforms")
CrossICC.object <- CrossICC(demo.platforms, skip.mfs = TRUE, max.iter = 1, overwrite = TRUE, output.dir = tempdir())
predicted <- predictor(demo.platforms[[1]], 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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