MeanAcrossClusters: Wrangling function: Take count mat and summarize into mean...

In jakeyeung/scChIX: Deconvolving Multiplexed Histone Modifications in Single Cells.

Wrangling function: Take count mat and summarize into mean across selected columns (eg by columns that are from same cluster)

Description

Wrangling function: Take count mat and summarize into mean across selected columns (eg by columns that are from same cluster)

Usage

MeanAcrossClusters(count.mat, cnames.keep.lst, jfunc = rowMeans)

Arguments

count.mat	Count matrix, usually rows are genes and columns are cells
cnames.keep.lst	List where names are cluster identities, values in list are column names that are to be summarized
jfunc	Summarizing function, default is rowMeans

Value

List of count vectors with same names as cnames.keep.lst. Count values are across rows of the matrix

Examples

cnames.keep.lst <- lapply(split(dat.final.annots, f = dat.final.annots$cluster), function(x) x$cell) # create cluster to cell input list
prob.mat.byclst.lst <- MeanAcrossClusters(prob.mat, cnames.keep.lst = cnames.keep.lst) # average probabilities across clusters

jakeyeung/scChIX documentation built on May 7, 2023, 9:14 a.m.