PairCells | R Documentation |
This function will create the pairs of cells between different modalities based on
the integrated data generated by CoembedData
.
It was modified from https://github.com/buenrostrolab/stimATAC_analyses_code/blob/master/R/optMatching_functions.R
to use Seurat object as input.
Author: Vinay Kartha, Yan Hu
Contact: <vinay_kartha@g.harvard.edu>
Affiliation: Buenrostro Lab, Department of Stem Cell and Regenerative Biology, Harvard University
PairCells(
object,
reduction = NULL,
pair.by = NULL,
ident1 = "ATAC",
ident2 = "RNA",
assay = "RNA",
pair.mode = "greedy",
tol = 1e-04,
search.range = 0.2,
max.multimatch = 5,
min_subgraph_size = 50,
seed = 42,
k = 300
)
object |
The integrated Seurat object generated by the function CoembedData |
reduction |
Dimensional reduction to use for the pairing cells |
pair.by |
Name of one metadata column to split the object for pairing; |
ident1 |
Specify how to split the object, must be an value of pair.by |
ident2 |
Specify how to split the object, must be an value of pair.by |
assay |
Assay name based on which a KNN graph is constructed |
pair.mode |
Pair mode. Available options are: "greedy" and "geodesic". |
tol |
Tol times the number of subjects to be matched specifies the extent to which fullmatch's |
search.range |
This determines the size of the search knn. search_range * total number of cells = size of knn. |
max.multimatch |
Maximum number of cells allowed to be matched to each cell |
min_subgraph_size |
Minimum number of cells (ATAC/RNA each) needed for pairing in a given subgraph. Will skip subgraphs with fewer than these cells |
seed |
Random seed |
k |
k-NN parameter used for applying constraints on ATAC-RNA pairs |
A data frame containing the cell pairs
## Not run:
df.pair <- PairCells(
object = obj.coembed,
reduction = "harmony",
pair.by = "tech",
ident1 = "ATAC",
ident2 = "RNA"
)
## End(Not run)
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