DrawMLnet: Save and Draw the Multi-layer Signaling Network
In YUZIXD/scMLnet: The Construction of Multi-layer Singaling Network
Description
This function save the results generated by Rub_scMLnet function and visualize the results by pymnet package (python).
The generated multi-layer signaling network is saved in the folder named by the LigClu, RecClu and outdir parameters.
Usage
1
Arguments
MLnetList
The output of Run_MLnet function.
LigClu
character: The neighboring cell
RecClu
character: The central cell
outdir
The name of output folder
PyHome
The path to PYTHONHOME. The PyHome parameter is invalidated if only the plotMLnet parameter is set to TRUE.
plotMLnet
Whether to draw the multi-layer signaling network. The default setting is FALSE.
YUZIXD/scMLnet documentation built on Aug. 18, 2021, 7:29 p.m.
R Package Documentation
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Description
This function save the results generated by Rub_scMLnet function and visualize the results by pymnet package (python). The generated multi-layer signaling network is saved in the folder named by the LigClu, RecClu and outdir parameters.
Usage
1 |
Arguments
MLnetList |
The output of Run_MLnet function. |
LigClu |
character: The neighboring cell |
RecClu |
character: The central cell |
outdir |
The name of output folder |
PyHome |
The path to PYTHONHOME. The PyHome parameter is invalidated if only the plotMLnet parameter is set to TRUE. |
plotMLnet |
Whether to draw the multi-layer signaling network. The default setting is FALSE. |
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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