WGCNA_control: Set Parameters for WGCNA Step of Fuzzy Forests

In fuzzyforest: 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)

fuzzyforest documentation built on March 25, 2020, 5:09 p.m.