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 65 16 A+B
#> 2 47 96 A+C
#> 3 44 7 B+C
#> 4 32 45 A+D
#> 5 44 53 B+D
#> 6 79 54 C+D
#> 7 82 59 A+E
#> 8 23 6 B+E
#> 9 79 100 C+E
#> 10 24 29 D+E
#> 11 99 2 A+F
#> 12 23 2 B+F
#> 13 96 50 C+F
#> 14 71 83 D+F
#> 15 57 85 E+F