divModule | R Documentation |
This is a function to divide integrated networks into different modules.
divModule(case_union, control_union, deepSplit = 4, minModuleSize = 20)
case_union |
a matrix of integrated diseased network. |
control_union |
a matrix of integrated healthy network. |
deepSplit |
For method "hybrid", can be either logical or integer in the range 0 to 4. For method "tree", must be logical. In both cases, provides a rough control over sensitivity to cluster splitting. The higher the value (or if TRUE), the more and smaller clusters will be produced. For the "hybrid" method, a finer control can be achieved via maxCoreScatter and minGap below. |
minModuleSize |
Minimum module size. |
divided modules.
Data(TestData) divModule(TestData[[1]], TestData[[2]])
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.