Description Usage Arguments See Also Examples
Compute the number of cells expressing a particular combination of markers for each sample.
1 | CellCounts(data, combinations)
|
data |
Either a |
combinations |
A list of 'combinations', used to denote the subsets of interest. See the examples for usage. |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | set.seed(123)
## generate 10 simulated matrices of flow data
K <- 6 ## number of markers
data <- replicate(10, simplify=FALSE, {
m <- matrix( rnorm(1E4 * K, 2000, 1000 ), ncol=K )
m[m < 2500] <- 0
colnames(m) <- c("IL2", "IL4", "IL6", "Mip1B", "IFNg", "TNFa")
return(m)
})
names(data) <- sample(letters, 10)
head( data[[1]] )
## generate counts over all available combinations of markers in data
str(CellCounts(data)) ## 64 columns, as all 2^6 combinations expressed
## generate marginal counts
combos <- list(1, 2, 3, 4, 5, 6) ## marginal cell counts
cc <- CellCounts(data, combos)
## a base R way of doing the same thing
f <- function(data) {
do.call(rbind, lapply(data, function(x) apply(x, 2, function(x) sum(x > 0))))
}
cc2 <- f(data)
## check that they're identical
stopifnot(identical( unname(cc), unname(cc2) ))
## We can also generate cell counts by expressing various combinations
## of markers (names) in the data.
## count cells expressing IL2 or IL4
CellCounts(data, "IL2|IL4")
## count cells expressing IL2, IL4 or IL6
CellCounts(data, "IL2|IL4|IL6")
## counts for each of IL2, IL4, IL6 (marginally)
CellCounts(data, c("IL2", "IL4", "IL6"))
## counts for cells that are IL2 positive and IL4 negative
CellCounts(data, "IL2 & !IL4")
## expressing the same intent with indices
CellCounts(data, list(c(1, -2)))
## all possible combinations
str(CellCounts(data, Combinations(6)))
## can also call on COMPASSContainers
data(COMPASS)
CellCounts(CC, "M1&M2")
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