predictAep: Predicting the test tdata using aep trained model
In netClass: netClass: An R Package for Network-Based Biomarker Discovery
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
View source: R/averageExpressionPathwaySVM.R
Description
Predicting the test data using aep trained model
Usage
1
predictAep(train = train, x, y, DEBUG = FALSE, Gsub = Gsub)
Arguments
train
trained model
x
gene expression data for testing
y
class labels
DEBUG
show debugging information in screen more or less.
Gsub
an adjacency matrix that represents the underlying biological network.
Value
The value returned
auc
The AUC values of test fold
Author(s)
Yupeng Cun yupeng.cun@gmail.com
See Also
See Also as cv.aep
Examples
1
#see cv.aep
netClass documentation built on May 29, 2017, 7:18 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
View source: R/averageExpressionPathwaySVM.R
Description
Predicting the test data using aep trained model
Usage
1 | predictAep(train = train, x, y, DEBUG = FALSE, Gsub = Gsub)
|
Arguments
train |
trained model |
x |
gene expression data for testing |
y |
class labels |
DEBUG |
show debugging information in screen more or less. |
Gsub |
an adjacency matrix that represents the underlying biological network. |
Value
The value returned
auc |
The AUC values of test fold |
Author(s)
Yupeng Cun yupeng.cun@gmail.com
See Also
See Also as cv.aep
Examples
1 | #see cv.aep
|
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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