ComputeInteractionCoefMetafeature: Compute the importance using absolute value of interaction...
In ncats/MultiOmicsGraphPrediction: Network-Based Ensemble Prediction from IntLIM Predictors
View source: R/metafeaturefunctions.R
ComputeInteractionCoefMetafeature R Documentation
Compute the importance using absolute value of interaction term coefficient. Specifically,
the coefficient percentile is calculated and taken as the weight.
Description
Compute the importance using absolute value of interaction term coefficient. Specifically,
the coefficient percentile is calculated and taken as the weight.
Usage
ComputeInteractionCoefMetafeature(predictions, modelStats)
Arguments
predictions
Prediction data frame, where rows are samples, and
columns are predictors.
modelStats
A data frame that includes the interaction p-values and
interaction coefficients for each pair (such as the one output by IntLIM's
ProcessResults function)
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
| ComputeInteractionCoefMetafeature | R Documentation |
Compute the importance using absolute value of interaction term coefficient. Specifically, the coefficient percentile is calculated and taken as the weight.
Description
Compute the importance using absolute value of interaction term coefficient. Specifically, the coefficient percentile is calculated and taken as the weight.
Usage
ComputeInteractionCoefMetafeature(predictions, modelStats)
Arguments
predictions |
Prediction data frame, where rows are samples, and columns are predictors. |
modelStats |
A data frame that includes the interaction p-values and interaction coefficients for each pair (such as the one output by IntLIM's ProcessResults function) |
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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