Network-class: The Modules class
In quadbiolab/Pando: Inferring regulomes from multi-modal single-cell genomics data
Network-class R Documentation
The Modules class
Description
The Modules object stores the TF modules extracted from the inferred network..
The Network object stores the inferred network itself, information about the fitting
process as well as graph representations of the network.
Slots
metaA dataframe with meta data about the modules.
featuresA named list with a set of fetures (genes/peaks) for each module.
paramsA named list with module selection parameters.
fitA dataframe with goodness of fit measures.
coefsA dataframe with the fitted coefficients.
modulesA list TF modules.
graphsGraphical representations of the inferred network.
paramsA named list with GRN inference parameters.
quadbiolab/Pando documentation built on April 22, 2024, 8:14 a.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.
| Network-class | R Documentation |
The Modules class
Description
The Modules object stores the TF modules extracted from the inferred network..
The Network object stores the inferred network itself, information about the fitting process as well as graph representations of the network.
Slots
metaA dataframe with meta data about the modules.
featuresA named list with a set of fetures (genes/peaks) for each module.
paramsA named list with module selection parameters.
fitA dataframe with goodness of fit measures.
coefsA dataframe with the fitted coefficients.
modulesA list TF modules.
graphsGraphical representations of the inferred network.
paramsA named list with GRN inference parameters.
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.