Given a vector of cluster labels, returns pairs of cross-cluster cells
Usage
getCellPairs(
clusters,
n = 1000,
ls = NULL,
q = c(0.1, 0.9),
selMode = "proportional",
soft.min = 5
)Arguments
- clusters
A vector of cluster labels for each cell, or a list containing metacells and graph
- n
The number of cell pairs to obtain
- ls
Optional library sizes
- q
Library size quantiles between which to include cells (ignored if `ls` is NULL)
- selMode
How to decide the number of pairs of each kind to produce. Either 'proportional' (default, proportional to the abundance of the underlying clusters), 'uniform' or 'sqrt'.
- soft.min
Minimum number of pairs of a given type.
Examples
# create random labels
x <- sample(head(LETTERS), 100, replace=TRUE)
getCellPairs(x, n=6)
#> cell1 cell2 orig.clusters
#> 1 22 28 A+B
#> 2 64 83 A+C
#> 3 25 79 B+C
#> 4 57 26 A+D
#> 5 12 17 B+D
#> 6 53 3 C+D
#> 7 46 92 A+E
#> 8 34 72 B+E
#> 9 6 54 C+E
#> 10 17 29 D+E
#> 11 7 86 A+F
#> 12 9 38 B+F
#> 13 100 27 C+F
#> 14 3 35 D+F
#> 15 93 99 E+F