process_decision_boundary: process_decision_boundary
In alextkalinka/delboy: Differential-representation analysis by Elastic-net Logistic regression with BinOmial-thinning validitY tests
Description
Usage
Arguments
Value
View source: R/process_decision_boundary.R
Description
Extract and smooth a decision boundary along the axes of fold-change and expression such that fold change is a convex, monotonically decreasing function of expression level.
Usage
1
process_decision_boundary(data.grid)
Arguments
data.grid
A grid of predicted true and false positives along the plane formed by absolute log fold change and log10 expression.
Value
A data frame.
alextkalinka/delboy documentation built on Feb. 2, 2022, 4:19 p.m.
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Description Usage Arguments Value
View source: R/process_decision_boundary.R
Description
Extract and smooth a decision boundary along the axes of fold-change and expression such that fold change is a convex, monotonically decreasing function of expression level.
Usage
1 | process_decision_boundary(data.grid)
|
Arguments
data.grid |
A grid of predicted true and false positives along the plane formed by absolute log fold change and log10 expression. |
Value
A data frame.
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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