ComputePathwayMetafeature: Compute the importance using pathway membership. Predictor...
In ncats/MultiOmicsGraphPrediction: Network-Based Ensemble Prediction from IntLIM Predictors
View source: R/metafeaturefunctions.R
ComputePathwayMetafeature R Documentation
Compute the importance using pathway membership. Predictor pairs that share
at least one pathway have an importance of 1, and all others have an
importance of 0.
Description
Compute the importance using pathway membership. Predictor pairs that share
at least one pathway have an importance of 1, and all others have an
importance of 0.
Usage
ComputePathwayMetafeature(predictions, inputData, colIdInd, colIdOut)
Arguments
predictions
Prediction data frame, where rows are samples, and
columns are predictors.
inputData
Input data, which may include database ID mappings for
the analytes.
colIdInd
The ID of the column that has the analyte ID's for the
independent variable. If blank, then the existing ID's are used.
colIdOut
The ID of the column that has the analyte ID's for the
outcome variable. If blank, then the existing ID's are used.
Value
A data frame with the importance metric for each sample and each
predictor. The metric will be the same for all samples in this case.
ncats/MultiOmicsGraphPrediction documentation built on Aug. 23, 2023, 9:19 a.m.
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View source: R/metafeaturefunctions.R
| ComputePathwayMetafeature | R Documentation |
Compute the importance using pathway membership. Predictor pairs that share at least one pathway have an importance of 1, and all others have an importance of 0.
Description
Compute the importance using pathway membership. Predictor pairs that share at least one pathway have an importance of 1, and all others have an importance of 0.
Usage
ComputePathwayMetafeature(predictions, inputData, colIdInd, colIdOut)
Arguments
predictions |
Prediction data frame, where rows are samples, and columns are predictors. |
inputData |
Input data, which may include database ID mappings for the analytes. |
colIdInd |
The ID of the column that has the analyte ID's for the independent variable. If blank, then the existing ID's are used. |
colIdOut |
The ID of the column that has the analyte ID's for the outcome variable. If blank, then the existing ID's are used. |
Value
A data frame with the importance metric for each sample and each predictor. The metric will be the same for all samples in this case.
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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