find_eigengene: Find eigengene of WGCNA modules

In Yutong441/TBdev: Infer a Trophoblast Developmental Trajectory

Description

Calculate the WGCNA connectivity matrix, perform hierarchical clustering, cut tree, and then eigengene values. Weight power is automatically determined

Usage

find_eigengene(
  x,
  save_dir,
  cluster_num = "all",
  select_type = "revised",
  save_eigen = T,
  return_eigengene = F,
  top_markers = NULL,
  ...
)

Arguments

x	a Seurat object
save_dir	where to store the genes of each WGCNA cluster
cluster_num	on which cell cluster WGCNA is performed. 'all' means the entire dataset is involved
select_type	where the cluster information is stored.
...	other parameters to pass to block_with_parameters which corresponds to WGCNA::blockwiseModules

Yutong441/TBdev documentation built on Dec. 18, 2021, 8:22 p.m.