transform_importance_to_weights: Log transforms the edge-weights in the inferred GRN
In RGBM: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction
View source: R/proposed_steps.R
transform_importance_to_weights R Documentation
Log transforms the edge-weights in the inferred GRN
Description
This function performs an inverse absolute log-transformation of the non-zero edge weights in the final inferred GRN (A) to make the edge-weights more comprehensible and understandable.
Usage
transform_importance_to_weights(A)
Arguments
A
Inferred GRN in the form of Ntfs-by-Ntargets matrix
Value
Refined adjacency matrix A in the form of Ntfs-by-Ntargets matrix
Author(s)
Raghvendra Mall <rmall@hbku.edu.qa>
RGBM documentation built on April 14, 2023, 9:10 a.m.
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View source: R/proposed_steps.R
| transform_importance_to_weights | R Documentation |
Log transforms the edge-weights in the inferred GRN
Description
This function performs an inverse absolute log-transformation of the non-zero edge weights in the final inferred GRN (A) to make the edge-weights more comprehensible and understandable.
Usage
transform_importance_to_weights(A)
Arguments
A |
Inferred GRN in the form of Ntfs-by-Ntargets matrix |
Value
Refined adjacency matrix A in the form of Ntfs-by-Ntargets matrix
Author(s)
Raghvendra Mall <rmall@hbku.edu.qa>
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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