heatmap_all_pheno: Visualize all of identified populations in a heatmap

In aef1004/cytotypr: Pipeline to Identify Cell Types from Cytometry Data

Description

Visualize all of identified populations in a heatmap

Usage

heatmap_all_pheno(df)

Arguments

df	dataframe for which you want to visualize all of the different populations

Value

pheatmap of all of the phenotypes denoted by a combination of positive and negative expression of markers

Examples

library(dplyr)

 order_of_markers <- c("CD3", "CD4", "CD8",  "CD44", "CD103", "Sca1", "IL_17","CTLA4",
"CD27",  "CD153", "KLRG1", "IFN",  "CD122", "PD1", "CD62L", "IL_10", "CD28","TNF")

filter_for_total_pheno(all_fe, marker_order = order_of_markers) %>%
heatmap_all_pheno()

#' @importFrom dplyr %>%

aef1004/cytotypr documentation built on Dec. 25, 2021, 8:46 a.m.