WGCNA_control {fuzzyforest} | R Documentation |
Set Parameters for WGCNA Step of Fuzzy Forests
Description
Creates WGCNA_control
object for
controlling WGCNA will be carried out.
Usage
WGCNA_control(power = 6, ...)
Arguments
power |
Power of adjacency function. |
... |
Additional arguments. See blockwiseModules from the WGCNA package for details. |
Value
An object of type WGCNA_control.
Note
This work was partially funded by NSF IIS 1251151.
References
Conn, D., Ngun, T., Ramirez C.M., Li, G. (2019). "Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data." Journal of Statistical Software, 91(9). doi: 10.18637/jss.v091.i09
Zhang, B. and Horvath, S. (2005). "A General Framework for Weighted Gene Co-Expression Network Analysis." Statistical Applications in Genetics and Molecular Biology, 4(1). doi: 10.2202/1544-6115.1128
Examples
WGCNA_params <- WGCNA_control(p=7, minModuleSize=30, TOMType = "unsigned",
reassignThreshold = 0, mergeCutHeight = 0.25,
numericLabels = TRUE, pamRespectsDendro = FALSE)
[Package fuzzyforest version 1.0.8 Index]