Commit 787dff6c authored by smorabit's avatar smorabit
Browse files

fix typo

parent 2d3bbf8d

R/getters_and_setters.R

+1 −1
Original line number Diff line number Diff line
@@ -132,7 +132,7 @@ SetDatExpr <- function( 
  # get parameters from seurat object

  params <- GetWGCNAParams(seurat_obj, wgcna_name)

  genes_use <- GetWGCNAGenes(seurat_obj, wgcna_name)

  modules <- GetModules(seurat_obj, wgcna_name))

  modules <- GetModules(seurat_obj, wgcna_name)

  assay <- params$metacell_assay



  print('n_genes:')

R/helpers.R

+5 −0
Original line number Diff line number Diff line
@@ -20,3 +20,8 @@ umap_theme <- function(){ 
    plot.title = element_text(hjust = 0.5)

  )

}



# helper function to shuffle points when plotting:

shuffle_points <- function(df){

  return(df[sample(1:dim(df)[1], dim(df)[1]),])

}

README.md

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Original line number Diff line number Diff line
@@ -5,6 +5,7 @@ 
[![LICENSE](https://img.shields.io/github/license/smorabit/scWGCNA)](LICENSE.md)

[![ISSUES](https://img.shields.io/github/issues/smorabit/scWGCNA)](https://github.com/smorabit/scWGCNA/issues)





scWGCNA is an R package for performing weighted gene co-expression network analysis [(WGCNA)](https://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/) in single-cell

RNA-seq data. scWGCNA constructs co-expression networks in a cell-type-specific manner,

identifies robust modules of inerconnected genes, and provides biological

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