predict_classification_model: Predict gene expression model from methylation profiles
In andreaskapou/BPRMeth-devel: Model higher-order methylation profiles
Description
Usage
Arguments
Value
Author(s)
See Also
Description
predict_classification_model makes predictions of gene expression
levels using a model trained on higher order methylation features extracted
from specific genomic regions.
Usage
1
predict_classification_model(model, test, is_summary = TRUE)
Arguments
model
The fitted regression model, i.e. the output of
train_model_gex.
test
The testing data.
is_summary
Logical, print the summary statistics.
Value
A list containing the following elements:
-
test_pred: The predicted values for the test data.
-
test_errors: The test error metrics.
Author(s)
C.A.Kapourani C.A.Kapourani@ed.ac.uk
See Also
andreaskapou/BPRMeth-devel documentation built on May 12, 2019, 3:32 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
predict_classification_model makes predictions of gene expression
levels using a model trained on higher order methylation features extracted
from specific genomic regions.
Usage
1 | predict_classification_model(model, test, is_summary = TRUE)
|
Arguments
model |
The fitted regression model, i.e. the output of
|
test |
The testing data. |
is_summary |
Logical, print the summary statistics. |
Value
A list containing the following elements:
-
test_pred: The predicted values for the test data. -
test_errors: The test error metrics.
Author(s)
C.A.Kapourani C.A.Kapourani@ed.ac.uk
See Also
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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