VizDimLoadings: Visualize Dimensional Reduction genes

In ibseq/scs-analysis: Tools for Single Cell Genomics

Description

Visualize top genes associated with reduction components

Usage

VizDimLoadings(
  object,
  dims = 1:5,
  nfeatures = 30,
  col = "blue",
  reduction = "pca",
  projected = FALSE,
  balanced = FALSE,
  ncol = NULL,
  combine = TRUE
)

Arguments

object	Seurat object
dims	Number of dimensions to display
nfeatures	Number of genes to display
col	Color of points to use
reduction	Reduction technique to visualize results for
projected	Use reduction values for full dataset (i.e. projected dimensional reduction values)
balanced	Return an equal number of genes with + and - scores. If FALSE (default), returns the top genes ranked by the scores absolute values
ncol	Number of columns to display
combine	Combine plots into a single patchworked ggplot object. If FALSE, return a list of ggplot objects

Value

A patchworked ggplot object if combine = TRUE; otherwise, a list of ggplot objects

Examples

data("pbmc_small")
VizDimLoadings(object = pbmc_small)

ibseq/scs-analysis documentation built on Feb. 27, 2021, 12:35 a.m.