AMARETTO_LearnRegulatoryProgramsLarsen: AMARETTO_LearnRegulatoryProgramsLarsen
In gevaertlab/AMARETTO: Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression
AMARETTO_LearnRegulatoryProgramsLarsen R Documentation
AMARETTO_LearnRegulatoryProgramsLarsen
Description
AMARETTO_LearnRegulatoryProgramsLarsen
Usage
AMARETTO_LearnRegulatoryProgramsLarsen(Data, Clusters, RegulatorData,
RegulatorSign, Lambda, AutoRegulation, alpha, pmax, random_seeds)
Value
result
gevaertlab/AMARETTO documentation built on April 6, 2023, 2:43 p.m.
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.
| AMARETTO_LearnRegulatoryProgramsLarsen | R Documentation |
AMARETTO_LearnRegulatoryProgramsLarsen
Description
AMARETTO_LearnRegulatoryProgramsLarsen
Usage
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.