AMARETTO_LearnRegulatoryProgramsLarsen: AMARETTO_LearnRegulatoryProgramsLarsen
In broadinstitute/PerturbationAMARETTO: Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression
Description
AMARETTO_LearnRegulatoryProgramsLarsen
Usage
1
2
AMARETTO_LearnRegulatoryProgramsLarsen(Data, Clusters, RegulatorData,
RegulatorSign, Lambda, AutoRegulation, alpha, pmax, random_seeds)
Value
result
broadinstitute/PerturbationAMARETTO documentation built on Nov. 4, 2019, 8:14 a.m.
R Package Documentation
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Description
AMARETTO_LearnRegulatoryProgramsLarsen
Usage
1 2 | AMARETTO_LearnRegulatoryProgramsLarsen(Data, Clusters, RegulatorData,
RegulatorSign, Lambda, AutoRegulation, alpha, pmax, random_seeds)
|
Value
result
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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