Cell.cell.corheatmap: heatmap for cell-cell correlation matrix

In GrigoriiNos/rimmi.rnaseq: Set of functions for genomics data analysis

heatmap for cell-cell correlation matrix

Description

This function allows you to plot a heatmap for cell-cell correlation

Usage

Cell.cell.corheatmap(
  Seurat_obj,
  do.cluster = F,
  colours = "random",
  cor.method = "spearman",
  imputed = F,
  title = "Cell-Cell corellation heatmap"
)

Arguments

Seurat_obj	Seurat object
do.cluster	set to T if you want a hierarchical clustering on the top of the heatmap, defulat is FALSE
colours	set the colours for clusters that you want, random colours by default
cor.method	what method parameter should be passed to cor function, spearman is by default, bayesian (package psycho), pearson and kendall can also be used
@param	imputed should MAGIC imputetion be used on an expression matrix primarily to correlation analysis, FALSE by default

Value

a heaatmap

Examples

Cell.cell.corheatmap(Seurat_obj, do.cluster = T)

GrigoriiNos/rimmi.rnaseq documentation built on April 29, 2022, 5:18 p.m.