identified_pop_perc: Add in the percentage data for all of the samples for the...

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

Description

Add in the percentage data for all of the samples for the filtered populations

Usage

identified_pop_perc(df1, df2, marker_vector)

Arguments

df1	dataframe that contains the filtered populations
df2	dataframe that contains the feature engineered data with the percentages
marker_vector	vector of the order of markers to show on the plots

Value

dataframe that contains percentage of cells in each of the filtered populations

Examples

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

identified_pop_perc(sample_populations, all_fe, marker_vector = order_of_markers)

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