ConstructPseudobulk: ConstructPseudobulk
In smorabit/scWGCNA: hdWGCNA

ConstructPseudobulk

R Documentation

ConstructPseudobulk

Description

Constructs a "pseudobulk" gene expression matrix summarizing the expression levels of each gene across a grouping variable (cell types for example) in each biological replicate.

Usage

ConstructPseudobulk(
  seurat_obj,
  group.by,
  replicate_col,
  label_col = NULL,
  assay = "RNA",
  slot = "counts",
  min_reps = 20,
  wgcna_name = NULL
)

Arguments

`seurat_obj`	A Seurat object
`group.by`	column in seurat_obj@meta.data containing grouping info, ie clusters or celltypes
`replicate_col`	column in seurat_obj@meta.data denoting each replicate / sample
`label_col`	column in seurat_obj@meta.data denoting an additional label of interest, for example disease status or biological sex. This is not a required argument and is typically only used for consensus WGCNA
`assay`	Assay in seurat_obj containing isoform expression information.
`slot`	Slot in seurat_obj, default to counts slot and we generally recommend using counts here.
`min_reps`	The minimum number of different biological replicates allowed. Error will be thrown if the number of reps is too low.
`wgcna_name`	The name of the hdWGCNA experiment in the seurat_obj@misc slot

Details

This function constructs pseudobulk gene expression profiles across the provided cell groups and the provided biological replicates. We note that low numbers of replicates are typical in single-cell and spatial transcriptomics due to the large monetary cost of running these experiments, and pseudobulk-ing your data for hdWGCNA is only recommended in the case where you have a sufficient number of replicates. Here we have set the minimum recommended number to 20. Using fewer than 20 replicates risks the results not being reproducible or robust, and therefore are not biologically meaningful due to spurious noisy correlations.