compute_ensemble_regression_with_montecarlo_based_stability_selection: Step 1 - Gene regulatory network inference using ensemble...
In mbanf/MERIT: MastEr Regulator Inference Tool
Description
Usage
Arguments
Value
Description
Step 1 - Gene regulatory network inference using ensemble regression with Monte Carlo based threshold selection
Usage
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compute_ensemble_regression_with_montecarlo_based_stability_selection(m.foldChange_differentialExpression,
df.transcriptionFactorAnnotation, df.geneGroups,
targetSet = "geneGroups", seed = 1234,
importance.measure = "impurity", n.trees = 1000,
n.lead_method_expression_shuffling = 1, n.bootstrap = 100,
n.stepsLARS = 5, n.cpus = 5)
Arguments
k
(default k="sqrt")
Value
none, results are stored in tmp folder
mbanf/MERIT documentation built on June 16, 2021, 1:07 p.m.
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Description Usage Arguments Value
Description
Step 1 - Gene regulatory network inference using ensemble regression with Monte Carlo based threshold selection
Usage
1 2 3 4 5 6 | compute_ensemble_regression_with_montecarlo_based_stability_selection(m.foldChange_differentialExpression,
df.transcriptionFactorAnnotation, df.geneGroups,
targetSet = "geneGroups", seed = 1234,
importance.measure = "impurity", n.trees = 1000,
n.lead_method_expression_shuffling = 1, n.bootstrap = 100,
n.stepsLARS = 5, n.cpus = 5)
|
Arguments
k |
(default k="sqrt") |
Value
none, results are stored in tmp folder
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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